
Marti Gatchev
Full-Stack Engineer
I ship small, useful features fast—clean React/Next.js on the front, practical Python for AI integrations and automation. I focus on AI that actually helps people: tool-calling, retrieval, and human-in-the-loop flows that turn ideas into real product value.
About Me
I’m a full-stack engineer who likes turning fuzzy ideas into dependable software. On the front end I build with React/Next.js + TypeScript. For AI and automation I work in Python—integrating LLMs, calling tools, and wiring up simple services and scripts that support the product. I care about readable code, small iterations, and getting real feedback early.
I’m especially interested in human-centered AI: features that assist rather than replace. That means function calling, retrieval (pgvector/Postgres), and basic guardrails/evals so the output is reliable and worth using. If a feature doesn’t beat “just use ChatGPT,” I rework the spec until it does.
Before engineering I worked in marketing for live events, collaborating closely with product teams. That background keeps me focused on users, clear outcomes, and shipping things people actually adopt.
I also like to prototype end-to-end ideas. Recently I built Vosynia, a worldbuilding project that orchestrates OpenAI with automated image generation (Midjourney via Selenium), which taught me a lot about stitching tools together responsibly. I’m also tinkering with a small iOS hiking app that uses the phone’s barometer for accurate elevation tracking.
Outside of code, I make music and photography, and I read a lot of history and philosophy—those loops in sound, images, and ideas keep my taste sharp and shape how I think about interfaces, narrative, and problem-solving.
If you’re building products that use AI to solve real problems—and care about thoughtful UX and maintainable systems—I’d love to contribute.
Tech-Stack
Tech Stack
Engineering
API-first services with clean models and auth.
Primary stack
Working knowledge
Engineering
Accessible, responsive UI with component-driven architecture.
Primary stack
Working knowledge
Engineering
LLM features with tool use, data grounding, and smooth UX.
Primary stack
Working knowledge
Always learning, always shipping.