# Our Team Members
> Meet the talented team behind GoSmarter AI, led by co-founders Ruth Kearney and Steph Locke, building AI solutions for manufacturing
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> **URL:** https://www.gosmarter.ai/team/
**Last updated:** 2026-04-14
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GoSmarter is led by co-founders Ruth Kearney and Steph Locke and a bunch of talented developers.
Learn more about our team by clicking the headings below, or scroll down to see our team members.
Engineers, scientists, and people who get things done▶
GoSmarter's team is built around people who care about the craft of software engineering, the rigour of data science, and the practical reality of manufacturing. We are based primarily in Cardiff and Dublin, with team members across the UK and Ireland.
Our founders — Ruth Kearney and Steph Locke — bring together commercial and technical leadership in AI and manufacturing. Ruth leads on product and commercial strategy, with deep experience in the Irish and UK manufacturing markets. Steph is a recognised data science leader who has been shaping AI policy at European level and building practical AI tools for over a decade.
The engineering team builds across cloud infrastructure, web applications, and AI models. Our data science function works on the specific challenges of manufacturing data: unstructured documents, variable-quality sensor data, and the domain knowledge required to build models that production teams can trust.
Our culture▶
We hire people who take their work seriously without taking themselves too seriously. We work collaboratively across disciplines — engineers work closely with data scientists, who work closely with customer success, who work closely with the manufacturers actually using the product. The feedback loop is short and the decisions that get made are better for it.
We are a small team, which means you can see the impact of your work quickly. It also means we do not have layers of management between a good idea and its implementation. If you spot something that could be better — in the product, in the process, or in the code — you are encouraged to say so and to help fix it.
Diversity and inclusion▶
We are committed to building a team that reflects the breadth of talent available, not just the talent that looks like the tech sector's historical default. We have team members from Wales, Ireland, England, and beyond; from humanities and science backgrounds; at different career stages. We believe diverse teams build better products, and we work actively to maintain an environment where everyone can contribute at their best.
## Ruth Kearney
> Ruth Kearney is Co-Founder and CEO of GoSmarter AI — driving commercial growth and strategic partnerships to help metals manufacturers adopt AI and digital tools that actually deliver on the shop floor.
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Ruth Kearney is CEO of Nightingale HQ, where she leads the mission to help manufacturers adopt AI and digital tools to improve efficiency, reduce waste, and strengthen competitiveness. With over 15 years’ experience in commercial strategy and innovation, she brings deep expertise in applying technology to solve real-world industrial challenges.
Before Nightingale HQ, Ruth built innovation and skills programs across Europe, including AI and data training initiatives for industry leaders. She has also supported research and manufacturing partnerships through technology transfer and European funding programs such as Horizon 2020 and the EIT networks.
Passionate about the future of manufacturing, Ruth focuses on equipping companies with practical digital solutions that deliver measurable impact on the factory floor.
## Steph Locke
> Steph Locke is Co-founder and Head of Product at GoSmarter AI — former Microsoft Data & AI MVP building practical tools to cut paperwork and automate compliance for metals manufacturers.
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Steph Locke helps manufacturers cut through the noise of paperwork and compliance so they can focus on what really matters: running faster, greener, and more reliable operations. As Chief Product Officer at **GoSmarter.ai**, she works side‑by‑side with metals manufacturers to replace spreadsheets and manual processes with simple, automated workflows that save time, reduce waste, and keep production on track.
She’s no stranger to building things that scale. From leading teams at **Microsoft** to founding **Nightingale HQ**, Stephanie has spent over a decade designing cloud systems, data products, and AI tools that deliver real impact on the shop floor. Her track record includes helping manufacturers win grants, achieve Net Zero goals, and roll out digital solutions that stick.
## Nikhil Kanukuntla
> Junior Software Engineer passionate about developing their craft.
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Nikhil moved into software development via an English Literature degree and a couple of years in digital marketing. He is currently embracing the world of tech and looking to absorb as much information as possible to grow as a professional and hone in on his tech interests.\
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He has a particular passion for learning how to learn (to scientific detail!) and finding ways of getting better at improving his skills, building knowledge and helping himself and others.\
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Beyond code he enjoys exploring his hometown of London by bike, chess and making electronic music.
## Richard Jackson
> Cloud software engineer with expertise in data science, cloud-native development, and data engineering for manufacturing AI solutions
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Rich is a cloud software engineer with a mixed career of data scientist, musician and educator, spanning the past 15 years. He has a passion for process and communication, and has given workshops and talks on their roles within the tech industry. Within Nightingale HQ his work focuses on cloud-native software development, technical exploration, and data engineering.
Based in Cardiff, his educational background has always been split between the logical and the artistic, reading BA Pure Mathematics with Music, MMus Composition and MSc. Computing, all at Cardiff University. He has found his diverse career to have produced a solid foundation of soft skills and has led to a focus on clarity of intent, necessity of action and the value of shared understanding. He brings these skills to all he is involved in and is always actively seeking to improve his skillset.
Rich is actively involved in tech communities such as Umbraco and Reaper DAW. His work was recognised through receipt of an Umbraco Most Valuable People (MVP) award in 2024, and is a regular public speaker at local and international events. He is also a classically trained musician who releases material under the name “JacksorJacksor”. When he’s not working or writing music he can typically be found wild swimming somewhere far colder than it has any right to be.
## Dr. Brian O’Halloran
> Dr. Brian O'Halloran is a highly experienced data scientist and leader with expertise across manufacturing, telecoms, insurance, and media industries in Ireland and the UK.
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Brian is a highly experienced data scientist and leader that has worked across multiple sectors in his career in Ireland and the UK, including manufacturing, telecoms, insurance and newspapers. He is currently Data Science Team at Three Ireland, having previously worked in leadership roles for at companies such as Irish Manufacturing Research, Liberty Insurance and Telegraph Media Group.
Brian is currently working on developing data science and optimisation techniques/probabilistic approaches to production data, with a view to delivering production ready solutions via machine learning operations (ML Ops) frameworks.
His work at GoSmarter brings together two of the most important challenges in manufacturing data science: making probabilistic models that work reliably on messy production data, and deploying them in ways that engineers and production managers can actually use. He applies rigorous statistical techniques to problems that have historically been solved with spreadsheets and gut feel — and the results are measurably better decisions.
Brian is a recognised expert in data science leadership across Ireland and the UK. He has built and led data science teams in regulated industries where accuracy and explainability are non-negotiable, including insurance and media. That discipline carries directly into manufacturing, where the cost of a wrong prediction can be a scrapped batch, a failed audit, or a compliance breach.
He holds a doctorate and brings an academic rigour to applied data science that is rare in industry. His research interests include ML Ops frameworks, probabilistic approaches to production scheduling, and the integration of operational data with quality management systems.
## Samantha Dart MSc
> Digital marketing intern at GoSmarter AI with Master's degree in Psychology, specializing in marketing psychology
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Samantha is a digital marketing intern at Nightingale HQ. As a recent graduate from Manchester Metropolitan University, Samantha holds a Master's degree in Psychology and is interested in using her knowledge of psychology in marketing.
## Liam Sproule
> Software engineering intern with aerospace engineering background, developing AI and cloud solutions for manufacturing
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Starting with a passion for engineering and Aerospace Liam has broadened his career goals with his interests in software engineering. His interest in the software side of engineering started while undertaking his undergraduate degree in Aerospace Engineering, where he relied upon programming to carry out mathematical operations on large datasets.
This interest in software engineering blossomed while undertaking his MSc in Aerospace engineering, where he used a combination of programming and scripting to automate a tedious simulation problem for his dissertation. The simulation problem required running thousands of near identical simulations each with different input parameters. Based on the results of these simulations new parameters where produced that would then be run in the next batch of simulations. By producing a program that would run scripts at the appropriate times he greatly increased his operational efficiency. Instead of running a software simulation, interpreting the results, determining what the input parameters for the next simulation should be then running the next simulation every 20 minutes, he could just leave the program that he produced running for a month. This allowed a much larger data set to be produced, which improved the results of the dissertation.
Ever since his interest in software engineering has only grown, and he now wishes to pursue a career in the software engineering field.
## Will Harris
> Sales and marketing professional at GoSmarter AI focused on automation, content creation, and driving awareness of AI value for manufacturing businesses
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Will is a sales and marketing intern interested in the intersection between technology and manufacturing. He is Wales-based and has worked in content creation. Has a keen interest in all things automation and is on a mission to cut out the grunt work so he can drive awareness of the value GoSmarter brings businesses. Currently developing his skills across a wide array of areas and gaining some valuable experience. Will enjoys travelling and mountain biking in his spare time.
## Solange Borrego
> Solange Borrego is a Quality Engineer with 5 years of shop-floor manufacturing experience, now pivoting to Data Science and AI applications in metals manufacturing.
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Solange is a Quality Engineer who specialises in manufacturing. She has worked for 5 years in a shop-floor and is now looking to pivot her career to Data Science and AI applications. Her background in engineering and her passion for digitization is helping manufacturers implement digital solutions.
Solange's five years of shop-floor manufacturing experience means she understands the problems GoSmarter is solving from the inside. She has lived the reality of quality management, compliance documentation, and the daily friction of manual processes in a production environment. That experience is the foundation of her pivot into data science — she is not trying to impose technology on manufacturing from the outside, she is building tools for an environment she knows intimately.
Her background in quality engineering gives her a rigorous approach to data: understanding how production data is collected, where it is unreliable, and what decisions it genuinely needs to support. She applies that same rigour to building data science solutions, ensuring that the outputs are trustworthy and that the models reflect the real constraints of a manufacturing operation.
Solange is passionate about digitisation as a route to better working conditions as well as better business outcomes. When a quality engineer spends less time on manual data entry and more time on actual quality work, both the product and the job improve. That is the opportunity she sees in AI for manufacturing, and it is what drives her work at GoSmarter.
## Grace O'Donnell
> Grace O'Donnell is a marketing analyst and communications specialist at GoSmarter AI, with a Masters degree in PR and expertise in content creation and consumer market trends.
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Grace is a marketing analyst with expertise in communications and content creation. As a graduate of Technological University Dublin, Grace also holds a Masters in PR and loves to stay on top of the latest consumer market trends. She finds out what content people want and the latest policy changes coming down the line, making sure Nightingale HQ stays ahead of the curve.
Her work spans content strategy, social media management, and market research — translating complex AI and data topics into clear, accessible writing for a broad business audience. Grace has a strong eye for what resonates with SMEs and manufacturing audiences, and she ensures that GoSmarter's communications connect with the people who need to understand the product most.
With a background that combines academic rigour in public relations with hands-on experience in digital marketing, Grace brings both strategic thinking and practical execution to the marketing function. She is comfortable working across B2B and B2C contexts and has contributed to campaign strategy, press coverage, and community engagement for the GoSmarter brand.
## Chris Wilson
> Former CTO of Nightingale HQ, leading cloud-native software development and technical architecture for AI manufacturing solutions
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Chris is the CTO at Nightingale HQ. He is 15 years working in software development specialising in application integrations, cloud solution architecture, and enterprise networking. Experience in process optimisation for manufacturers including ERP integrations. Automating carbon emission calculations and savings for logistic partners. Clients include Oasis, McCann, Bupa, Worldwide Fruit. \
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Beginning with a passion for electronics and gadgets, Chris quickly moved into computer networking and earned himself a CCNA - this led to a degree in Computer Science, from which Chris went on to work for one of the UK's most innovate FinTech companies and then one of the world's largest Marketing agencies where he was responsible for ensuring the highest standards of security in .NET web applications.\
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In recent years Chris has become qualified as a Sitecore application developer, and also helped create the UK's first integrated, international tourism exchange - designed to allow smaller tourism businesses to compete on the international market without specialist technical knowledge.
## BlogSmarter AI
> BlogSmarter AI is GoSmarter's AI research and content assistant — surfacing practical insights from industry data and producing compelling blog posts for metals manufacturers.
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BlogSmarter AI is our tireless AI assistant that does research for us and writes compelling blog posts off the back of it. While we're busy building products that drag the metals industry out of the Stone Age, BlogSmarter AI handles some of the grunt work: finding the right stuff to talk about, building content, and giving us review-ready posts for people (and AI) to read.
No BS. No hallucinations about functions that don't exist. Just informative content backed by credible sources—because the last thing you need is an AI that makes stuff up when you're trying to get informed.
Built on the same principles as the GoSmarter platform: cut the crap, automate the boring bits, and let people focus on what actually matters.
## Matthew Parker
Matthew is a Cloud Software Engineer at Nightingale HQ, bringing over 10 years of experience in software development. He specializes in Blazor web applications, with over 3 years of dedicated experience, and has extensive expertise in .NET and C# spanning more than a decade.
Matthew began his career as a Systems Designer at Jagex, where he honed his skills in creating complex systems. He later transitioned to roles focused on automation engineering, which paved the way for his current specialization in cloud solutions. Throughout his career, Matthew has made significant open-source contributions, including to the MudBlazor project, demonstrating his commitment to the development community and continuous learning.
In his current role at Nightingale HQ, Matthew leverages his deep knowledge of Blazor and .NET to develop robust cloud-based applications, driving innovation and efficiency.
Matthew's specialism in Blazor puts him at the forefront of modern .NET web development — building rich, interactive web applications without the overhead of a separate JavaScript framework. At GoSmarter, this translates into fast, maintainable front-end experiences that integrate tightly with the cloud infrastructure the platform runs on.
His open-source contributions, including work on the MudBlazor project, reflect a commitment to the wider developer community and a standard of engineering quality that goes beyond what any single commercial project requires. He brings that same standard to GoSmarter's codebase: clean, well-structured, and built to last rather than just built to ship.
Before focusing on cloud-native development, Matthew worked at Jagex as a Systems Designer — an environment famous for engineering at scale and for demanding software that has to work reliably under pressure. That background informs how he thinks about performance, reliability, and the long-term maintainability of the systems GoSmarter depends on.
## Joshua Mercurio
> Cloud Solutions Architect Engineer specializing in scalable cloud infrastructure and AI solution architecture for manufacturing
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With a passion and strong background in technology, I begun my journey with a first-class degree in Mechanical Engineering, reinforcing engineering principles and applying them to practical applications through various projects.
Soon after, I began my year-long internship at Microsoft as a Cloud Solutions Architect. I specialized in areas such as DevOps, Power Platform, and cloud-native, creating end-to-end solutions, proof-of-concepts, and workshops to customers to help them leverage the power of the cloud and Azure services.
Currently, I am serving as a Cloud Solutions Engineer at Nightingale HQ, where I focus on bringing cloud infrastructure and AI technologies to the manufacturing industry.
As an Early in Career, I continuously seek opportunities to create transformative solutions and aim to contribute, impact, and empower others to do more with technology.
At GoSmarter, Joshua applies the cloud architecture skills he developed at Microsoft to the specific challenges of manufacturing — an industry that has historically been slow to adopt cloud-native approaches because the cost of downtime is so high and the tolerance for unreliable software is so low. He brings a rigorous, enterprise-grade approach to cloud infrastructure that gives manufacturers the confidence to modernise without disruption.
His internship at Microsoft gave him exposure to the full breadth of Azure's capabilities and the commercial disciplines needed to translate technical possibilities into solutions customers will actually adopt. Working directly with enterprise customers on proof-of-concepts and workshops, he learned how to communicate complex cloud architecture to non-technical stakeholders — a skill that is just as important in manufacturing as it is in tech.
Joshua is motivated by the opportunity to make a meaningful impact early in his career. Manufacturing is one of the industries where better technology can make the fastest practical difference — reducing waste, improving margins, and removing the kind of tedious manual work that nobody should be doing in 2025. That is the work GoSmarter does, and it is the work he is committed to.
## Laura Dernie
> Freelance personal assistant and Founder of My Discombobulated Brain
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Freelance personal assistant.
Founder of [My Discombobulated Brain](https://mydiscombobulatedbrain.com/)
Laura brings a unique perspective to the GoSmarter blog — the lived experience of managing complex organisations without the benefit of a traditional corporate support structure. As a freelance personal assistant and the founder of My Discombobulated Brain, she writes with authority on productivity, workplace accessibility, and the practical challenges of running a business efficiently.
Her contributions to the GoSmarter content programme focus on the human side of digital transformation: how tools need to work for the people using them, not just the people specifying them. She writes about scheduling, admin automation, and the small inefficiencies that add up to wasted hours — exactly the problems GoSmarter is built to solve.
My Discombobulated Brain, her personal platform, explores the intersection of neurodiversity, productivity, and professional life — making her a particularly insightful voice on why one-size-fits-all software often fails the people who need the most support.
## Mia Hatton - Data Scientist
> Budding data scientist with an entrepreneurial and science communication background.
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Mia is an experienced science communicator and trainer who is now merging these talents to become a Data Scientist. She is currently studying for her Data Science degree at Cardiff Metropolitan University and is putting it also into practice as an apprentice in Nightingale HQ. Alongside a science degree from the Open University, she has a number of years of experience in presenting, science content development and training consultancy across several countries including the Czech Republic, Norway, Malaysia and her home of Wales.
In 2015 she co-founded Letterbox Lab, offering a series of innovative science kits designed to help families to play with science. Letterbox Lab was named ‘Retail Start-up of the Year’ at the Wales Start-up Awards 2019. Outside of work, Mia enjoys playing Dungeons and Dragons and caring for her curious bearded dragon, Bert.
At GoSmarter, Mia applies her science communication background to one of the harder problems in data science: making models and results comprehensible to the people who need to act on them. In manufacturing, that means production managers and quality engineers who need to understand outputs clearly enough to make decisions, not just see a number from a black box.
Her work spans data analysis, model development, and the translation of findings into recommendations that are genuinely usable on the shop floor. She combines technical rigour with a communicator's instinct for what matters — and the ability to explain why.
Mia's co-founding of Letterbox Lab, a science kit business that won Retail Start-up of the Year at the Wales Start-up Awards 2019, demonstrates an entrepreneurial streak that sits alongside her academic work. She understands both what it takes to build something from scratch and how to communicate complex ideas to a broad audience — skills that are directly relevant to helping manufacturers understand and trust AI-driven insights.
## Muhammad Saad
Data Science Intern (R&D) building an event-driven cutting-stock optimisation service on Microsoft Azure, integrating NVIDIA cuOpt to efficiently process industrial optimisation tasks at scale.
Muhammad is developing and optimising algorithms to solve complex cutting-stock problems — a core challenge in the metals industry where raw bars of steel must be cut to customer-specified lengths with minimal waste. His work involves designing a cloud-native pipeline on Azure: an HTTP API built with Azure Functions receives cutting jobs, queues them via Azure Service Bus, and a Container Apps Job picks them up and runs the solver. The system uses KEDA event-driven autoscaling so compute resources scale to zero when idle, keeping costs low.
A key part of the work is benchmarking: Muhammad implements classical heuristics such as First Fit Decreasing as a baseline, then compares their results against NVIDIA cuOpt — a GPU-accelerated optimisation engine — to quantify the performance and material savings achievable with AI-powered solving. On representative test cases, cuOpt achieves near-optimal solutions that reduce bar consumption by up to 17% compared to the heuristic baseline, translating directly into reduced material waste and cost for manufacturers.
Alongside solver development, Muhammad performs data analysis tasks including data cleaning, preprocessing, and validation to ensure high-quality inputs and reliable optimisation outputs. He follows engineering best practices throughout: the codebase is covered by an automated CI/CD pipeline with ruff linting and an 80% test coverage gate enforced on every pull request.
Muhammad is studying Computer Engineering and brings a strong interest in the intersection of cloud infrastructure, operations research, and applied AI. At GoSmarter he works within the R&D function, contributing to the technical foundation of products that help manufacturers make better use of their raw materials.
## Phil Leach
Agentic AI Engineer building autonomous document processing pipelines and intelligent automation for metals manufacturers. Phil designs and implements AI agent systems that analyse, classify, and extract data from industrial documents — mill test certificates, material data sheets, and compliance records — reducing manual processing and improving data quality across the supply chain.
His current focus is the Agentic Document Analysis Pipeline at GoSmarter: a system that routes unknown or low-confidence mill certificates to an AI agent for structured analysis, sample accumulation, and automated training data generation. The pipeline uses GPT-4.1 with structured output validation to identify suppliers, extract field mappings, and build the labelled datasets needed to train dedicated extraction models — closing the loop between production classification and continuous model improvement.
Phil works across the full stack of the AI services platform: Python Container App Jobs on Azure, Service Bus message routing, Azure Document Intelligence custom classifiers, and the CI/CD pipelines that test, build, and deploy each service. He brings a methodical, research-driven approach to engineering — investigating established patterns before implementing, writing comprehensive tests, and documenting decisions so the team can continue without a phone call.
Before joining GoSmarter, Phil built experience in AI systems engineering and infrastructure automation, with a focus on making complex AI capabilities reliable and observable in production environments.
## Remin Franklin Eliyas
AI Engineer specialising in MTC extraction and OCR model evaluation. Responsible for testing multiple document intelligence solutions, benchmarking performance across accuracy, latency, and robustness metrics, and delivering structured comparative analyses to support model selection and optimisation.
Remin focuses on the practical challenge of making AI work reliably on real manufacturing documents — mill test certificates, material data sheets, and compliance records that vary enormously in format, quality, and completeness. His work directly supports GoSmarter's MillCert Reader product, which automates the extraction of chemical and mechanical property data from steel certificates.
His evaluation process is rigorous: testing multiple OCR and document intelligence models against the same datasets, measuring accuracy on structured fields, tolerance for poor scan quality, and the consistency of outputs across certificate types from different mills and standards bodies. The goal is not just finding the model that scores highest in a benchmark, but finding the one that production teams can actually trust.
Remin holds a Masters in Data Science and brings a methodical, evidence-based approach to model selection. He is part of the core engineering team at GoSmarter and works closely with the product and customer success functions to ensure AI performance translates into real-world reliability for manufacturers.
## Shaun Faulkner
> Technologist with a passion for full stack engineering.
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Shaun is a Software Engineer at Nightingale. He started his career as a data analyst and worked in logistics and security analytics. His interest in web development led him to setup his own IT consultancy where he provided remote/onsite support to clients. He is in the final year of a BSc degree in Computer Science with Open University and his wheelhouse is Python, which he has been using for years.
Outside of work he enjoys the odd endurance event and is a first responder volunteer.
Shaun's transition from data analyst to full-stack software engineer gives him a perspective that is rare in pure engineering roles — he understands the data that the software needs to work with, not just the code. At Nightingale HQ he worked on backend systems and data pipelines, applying his Python expertise to build tools that helped manufacturing businesses get more value from their existing data.
His time running an IT consultancy gave him direct experience of the challenges SMEs face with technology: limited budgets, limited internal resource, and systems that were never designed to work together. That experience shaped how he thinks about building software — practical, maintainable, and focused on solving real problems rather than impressing other developers.
Alongside his degree in Computer Science with the Open University, Shaun continued to develop his skills in Python and web development, pursuing both the academic foundation and the practical application in parallel. Outside of work, he volunteers as a first responder — a commitment that reflects the same practical, people-first values he brings to his engineering work.
## Steph Organ
> Ambitious digital marketer with a love for words and history of content creation.
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Steph has a background in Science with a Conservation Biology degree but has found great pleasure in experimenting with words instead. She has several years of experience writing online and is now specialising in digital marketing.
You can usually find Steph experimenting in the kitchen, taking walks with her partner, or stopping strangers in the street to ask if she can pet their dogs.
## Tyree Glasgow-Alexander
> Tyree Glasgow-Alexander is a Customer Success Manager at GoSmarter AI, bringing a background in Solutions Architecture and a focus on human-centred outcomes for metals manufacturing customers.
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Tyree is a Customer Success Manager at GoSmarter, working directly with metals manufacturers to ensure they get real value out of the platform from day one. His background in Solutions Architecture means he understands both the technical side of deployment and the human side of change — which is exactly what manufacturers need when they're moving away from spreadsheets and manual processes.
He brings empathy and clarity to every customer engagement. Where other people see complexity, Tyree finds the simple thread that makes a solution stick. He's the person in the room who translates what the product does into what it actually means for a production manager's day.
Before joining GoSmarter, Tyree built his career understanding how enterprise systems connect and how to make technology work for the people using it, not just the people specifying it. That experience shapes how he approaches onboarding, training, and ongoing customer support at GoSmarter.
He is passionate about outcomes that are human-centred — not just technically correct — and believes the best AI implementation is one that the people on the shop floor actually want to use.
## Zoe Locke - Web Developer
> Tech generalist specializing in web development, graphic design, and multimedia content creation for GoSmarter AI
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Zoe is our technical writer, creating our documentation. She is also the web developer and graphic designer at GoSmarter, responsible for keeping the digital presence sharp, functional, and on-brand. A self-described "tech generalist", she works across the full stack — from front-end development and UX improvements to graphic assets, video production, and multimedia content.
Her work spans the GoSmarter website, documentation, marketing materials, and internal tools. She brings a visual sensibility to technical problems and a practical approach to everything she builds. Whether it's a new landing page, an animated explainer, or a brand refresh, Zoe makes sure GoSmarter looks and works the part.
Zoe never needed a degree to get good at something and has been with the GoSmarter team since the early days, growing alongside the product and the brand. She is based in Wales and is a core part of the team that supports both the commercial and product sides of the business.