I build practical full-stack applications powered by AI. My focus is on simple, reliable features that users actually use: clean APIs, useful automations, and clear interfaces.
I'm a junior developer who builds practical AI-powered tools. I've shipped three projects (study tool, video clipper, and a code visualizer) as MVPs. I like small, focused features — authentication, clean APIs, and integrations that actually help people.
Technologies I use to build production-ready prototypes and simple SaaS.
Routing, async endpoints, simple dependency-injection, and OpenAPI docs.
Solid schema design, migrations, and pragmatic query tuning.
Component-first UI, hooks, and a focus on small reusable components.
Prompting, streaming responses, and connecting LLM APIs to user flows (Groq and others).
Three practical projects I built end-to-end. Videos load only when clicked or when the demo becomes very visible (lazy injection).
A focused study MVP: user accounts, multiple study modes, flashcards auto-generated from notes, and AI-generated practice tests.
Tell it what to cut — it finds segments, extracts clips, and compiles them. Built as a backend-first prototype with queued FFmpeg jobs.
Parses repos into diagrams and overlays short AI explanations — helpful for onboarding and quick repo overviews.
Open to freelance work, collaborations, and internships. Short, honest projects preferred — I move fast and iterate quickly.