Here describes the technical skills I have, mainly as a developer. Broadly I am truly full stack Web, Mobile, App, Game Dev along with the interfacing (APIs). I have worked with most database architectures and as ontological exercise have attempted to build my own. I run Linux and am familiar with most cloud service as well as love self hosting. Knowing all this requires also the ability to build your own servers/computers and contemplate hardware. This all culminates in a certain understanding of Cyber Security. I have quite a lot of experience and love for decentralised/distributed system whether that be Crypto or broader IPFS/Web 3 stuff. I am somewhat of an artists being quite experienced in Music and 3D art. I have worked with AI desinging my own classification library and currently do a lot of work with RAG and other vector DB interfacing with LLMs.
Programming Languages
App Development
API
Analytics Tools
Server & Hosting
Databases
Creative Tools
My preferred development stack
OS: Linux: Arch or Zorin OS depending on which computer I am using. I use Gnome for the most part with qtile and xmonad for intense work.
IDE: Cursor for easy projects, VSCodium for very large project and Neovim for quick edits or low level code. All of course with the Vim plugin enabled.
Backend: I always prefer to selfhost but for websites that need to be up all the time (like this one) I host on Vercel. Otherwise it's a mix of Portainer, Nginx Proxy Manager, Cloudflare on whatever computer I can find.
Database: Vector DB: qDrant, Relational: Supabase, Document: Mongo.
API: I like using GoFiber but for smaller projects will just write a flask API then transfer to Go in production. For work tho I usually just use whatever API framework is setup for that front end framework, whether it be Axios, Prisma or raw Next.
Frontend: Svelte for personal, React for team work. CSS fully managed by Tailwind. Flutter for mobile.
AI: Claude for LLM, whatever the top Ollama llm is for AI apps, qdrant for vector database and langchain to link everything. Then the usual python libs for manual AI.
Analytics: Posthog is by far the best.
Instruments
Languages