Full-stack software engineer with machine learning skills. I have a decade of experience building successful products for early stage startups and larger organisations.
Most of my experience has been developing new greenfield projects in contexts with significant uncertainty. I navigate this through careful consideration of stakeholder needs, business requirements, and an iterative approach. Beyond new projects, I have also worked extensively with a wide range of existing front-end and back-end systems. I get up to speed and can be effective quickly.
I am familiar with cross-functional teams of 5-10 people in design, product, and engineering roles. Alongside this, I have experience working with smaller select teams tasked with building the technical foundation of a startup.
I consider myself a “product engineer” in the sense that I focus on the product as a solution to end users’ problems, not a technical challenge. Over the years I have worked with many designers, user researchers, and user experience professionals who have shaped my attitude towards software. User experience is paramount to me and I can create effective user interfaces without aid of an existing design. My overall outlook is entrepreneurial and product-focused.
I have a GitHub with open source projects that have thousands of active users, and the bulk of an MSc in artificial intelligence.
Available for remote opportunities. I can accommodate flexible working patterns to suit different needs. I am also open to project-based work at a fixed price dependant on scope and complexity.
What I do:
- Lead greenfield projects, navigate ambiguity, and translate non-technical ideas into a technical product
- Innovate solutions to hard problems with high complexity that touch on areas such as algorithms or system design
- Design robust front-end and back-end systems, such as web apps with complex interfaces, or Serverless architectures
- Implement supervised, unsupervised, or semi-supervised machine learning techniques. Including use of LLMs and associated tooling
- Debug and fix bugs in existing software, including both front-end and back-end systems
- Collaborate and work with teams on existing projects
Full-stack AI developer experienced in building successful products from ideation to production. I can help with both existing and new projects. Samples of work can be found in my portfolio below.
Location: UK / EU
Remote: Hybrid preferred
Willing to relocate: Yes
Technologies: Author of popular open-source projects. ~10 years full-stack experience using languages such as TypeScript and Python
Résumé/CV: https://www.awalsh.io
Email: andrew@awalsh.io
Demystify is a suite of tools designed to help understand API behaviour. It generates accurate OpenAPI 3.1 specifications in real time from live network traffic, or from HAR files. Available as a desktop app, browser extension, web app, command line tool, and npm library.
Versatile full-stack software engineer with experience across front-end, back-end, and AI/ML using languages such as TypeScript and Python. I have built commercial software used by hundreds of thousands of people. Some of my open-source work has been featured #1 on Hacker News, with 1000s of GitHub stars.
Versatile full-stack software engineer with experience across front-end, back-end, and AI/ML using languages such as TypeScript and Python.
I have built commercial software used by hundreds of thousands of people. Some of my open-source work has been featured #1 on Hacker News, with 1000s of GitHub stars.
Currently I work with start-ups to solve complex real-world problems and launch successful products.
I thrive in fast-paced environments and on challenging projects marked by ambiguity and need for innovation. My approach to problem solving goes beyond coding, and I think about concept design and other factors.
Open to flat-rate pricing for well-scoped projects.
I enjoy building products end-to-end from conceptualisation to production. Full stack web developer specialised in frontend engineering. I also have experience with AI/ML.
Available part time, on a fractional basis, or full time for well-scoped projects.
I enjoy building products end-to-end from conceptualisation to production. Full stack web developer specialised in frontend engineering. I also have experience with AI/ML.
Full-stack software engineer with machine learning skills. I have a decade of experience building successful products for early stage startups and larger organisations.
Most of my experience has been developing new greenfield projects in contexts with significant uncertainty. I navigate this through careful consideration of stakeholder needs, business requirements, and an iterative approach. Beyond new projects, I have also worked extensively with a wide range of existing front-end and back-end systems. I get up to speed and can be effective quickly.
I am familiar with cross-functional teams of 5-10 people in design, product, and engineering roles. Alongside this, I have experience working with smaller select teams tasked with building the technical foundation of a startup.
I consider myself a “product engineer” in the sense that I focus on the product as a solution to end users’ problems, not a technical challenge. Over the years I have worked with many designers, user researchers, and user experience professionals who have shaped my attitude towards software. User experience is paramount to me and I can create effective user interfaces without aid of an existing design. My overall outlook is entrepreneurial and product-focused.
I have a GitHub with open source projects that have thousands of active users, and the bulk of an MSc in artificial intelligence.
Available for remote opportunities. I can accommodate flexible working patterns to suit different needs. I am also open to project-based work at a fixed price dependant on scope and complexity.
What I do:
- Lead greenfield projects, navigate ambiguity, and translate non-technical ideas into a technical product
- Innovate solutions to hard problems with high complexity that touch on areas such as algorithms or system design
- Design robust front-end and back-end systems, such as web apps with complex interfaces, or Serverless architectures
- Implement supervised, unsupervised, or semi-supervised machine learning techniques. Including use of LLMs and associated tooling
- Debug and fix bugs in existing software, including both front-end and back-end systems
- Collaborate and work with teams on existing projects
GitHub:
https://github.com/andrewwalsh
Portfolio, projects, and contact details:
https://www.awalsh.io/projects