streamerOS
A Rust-powered desktop cockpit for streaming professionals, engineered via modular Claude orchestrations. Handles live system telemetry feeds, multi-platform chat velocity streams, and real-time automated OBS scene synchronization.
I'm Yaseen Khatib. Five years of building for the web end to end — React, Node.js, TypeScript, MongoDB — and the last few wiring that stack into production AI: RAG pipelines, agent orchestration, and five products shipped solo, from a Rust desktop app to autonomous pipelines. Everything on this site actually runs. Scroll down and poke it.
Hyderabad, India (IST) · happy remote, hybrid, or in an office · effective across global time zones.
A résumé tells you what I did.
This shows you — as it happened.






Query my experience through a context-grounded RAG pipeline — live execution traces, structured outputs, and no answers outside the indexed corpus.
A Rust-powered desktop cockpit for streaming professionals, engineered via modular Claude orchestrations. Handles live system telemetry feeds, multi-platform chat velocity streams, and real-time automated OBS scene synchronization.
A personal-finance agent where the AI is structurally incapable of touching the money: every record lives in on-device SQLite (no cloud backend), and the model's function calls render as Review & Confirm cards — it proposes, only a human commits. Serialized writes, offline-first, and a daily on-device briefing.
One Cloudflare Worker, two interfaces: a grounded RAG API that answers questions about my work from a Vectorize index of my 95-article corpus (refusing anything out of scope), and an MCP server — add its URL to Claude and interrogate this portfolio from inside your own AI. Corpus re-embeds automatically after every deploy.
A free vocational-skilling LMS (“Learning to Livelihood”) for a client sitting on a library of course videos and PDFs. The brief arrived on a Monday — an MVP sketch and a vision of what it should become — and a working platform was live on the dev environment the next day: auth, course delivery for the client's video and PDF content, self-paced learning flow. One day from vision to a URL the client could click.
An interactive workflow-automation environment featuring responsive connectors, processing layers, and directional edge bindings. Developed a custom state Serialization Adapter architecture to optimize graph serialization over the wire.
These are the five flagships — all 13 builds →
Jun 2025 — Present
Architecting autonomous Agentic workflows and integrating LLMs into production MERN systems — owning intelligent systems from design and orchestration through deployment.
Jan 2023 — May 2025
Sep 2021 — Jan 2023