Software Engineer / Product Engineer / Designer specialising in Next.js, React and TypeScript. I build and continuously improve products by combining careful planning, continuous iteration and high-quality, maintainable code.
Here are some of my favourite tech tools to work with:
- Languages: TypeScript, Swift, Golang, Rust
- UI Libraries: React.js, Svelte
- Frameworks: Next.js, Remix, SvelteKit
- State: Zustand, XState, Redux Toolkit
- DBs: PostgreSQL, Planetscale, Redis
- APIs: OpenAPI, tRPC or GraphQL
- Other favs: Supabase, Kafka, EffectTS, Bevy
Working at the intersection with CEO, CTO, POs, Designers and Backend Engineers to create and maintain features and products.
Leading a team of 5+ Frontend Engineers to build solid, maintainable and scalable monorepo codebase, which is probably the most complex project I've worked on.
Doing technical recruitment and interviewing.
Mentoring Engineers via Code Reviews, 1:1s and casual yapping.
Worked with multiple clients, developing different big projects, ranging from admin panels to e-commerce platforms. This is also where I've found most Frontend Engineer friends in a single company.
I've also improved overall DX by pushing for better tooling. This includes, but is not limited to:
Switching MaterialUI to ChakraUI in one of the projects in under 1 month.
Convincing the whole FE team to shift from Redux to a hybrid approach with Zustand, React Context and Hooks.
Introducing React Query to the FE team and the projects I've worked on.
Working on infrastructure tasks ranging from Development to Deployment and Quality Assurance.
Creating deployment configurations for deploying AI models and reliability systems with Kubernetes / Helm.
Re-wrote company site into a JAM-stack frontend website with Next.js, TypeScript, TailwindCSS, and NetlifyCMS.
Tech used includes: Google Cloud Platform (GCP), Kubernetes, Docker, Nix, JavaScript/TypeScript, Next.js, TailwindCSS, NetlifyCMS.
After dabbling in simple neural network design I decided to join this course to learn more about AI in a more structured way. This experience taught me a lot about AI and made me able to research and create my own AI with the most suitable approach.
Here I learned the full spectrum of how computers work - from designing my own silicon chip or making my own signal amplifier to data structures, game theory, neural networks, compiler architecture and a lot more.
4-year art school study where I learned most of I know about sculpture, composition, painting, sketching, photography, design and art history.
Hosted an introductory course to Web Development for students from other departments who want to get into coding.
Volunteered to be a lab teaching assistant for a JavaScript course at the St. Andrews University.
Credential ID 12c0ee1c-c6a2-4896-9496-30f76ab67286