Hire a senior full-stack AI engineer
I'm Yaseen Nurmahammad Khatib — five years building for the web end to end, the last few wiring that into production AI. I ship complete systems solo: six products in the last twelve months, from a Rust desktop app to autonomous pipelines. Everything on this site actually runs.
What I build
Agentic RAG systems
Retrieval that grounds and cites — hybrid search, reranking, guardrails, and the eval loop that proves it works.
LLM orchestration & agents
Reason → act → observe loops, tool use, memory, and the safety boundaries that make a probabilistic model production-safe.
Full-stack MERN apps
React, Node, TypeScript, MongoDB — from schema to deployment, built to hold up under real users, not a demo.
Real-time & edge
WebSockets, streaming, and serverless on Cloudflare Workers + Hono — low-latency systems that scale past one process.
On-device & local-first AI
Private, offline-capable AI where the data never leaves the device — SQLite, function calling, local retrieval.
FinOps & performance
Token-cost governance, caching, and serialization work — including a 94% payload cut on a real workflow engine.
Proof, not promises
This site's whole thesis is real artifacts over claims. Read the engineering decisions behind Sable (a local-first AI finance agent that keeps 100% of data on-device), streamerOS (a Rust desktop cockpit plus a serverless RAG support agent on the edge), and the 94% payload cut on IntegrateX. Or browse every product and the writing behind the decisions.
Hire a RAG developer
Most of the AI work I am hired for is retrieval-augmented generation: getting a model to answer from a company's own documents, cite the passage it used, and refuse when the documents do not cover the question. The assistant on this site is that system in production. It runs on a Cloudflare Worker, embeds the query with Workers AI, retrieves from a Vectorize index of every article here, and declines below a confidence threshold. The same index is published as an MCP server, so it can be queried from inside Claude.
If you need that built for your documents, the AI chatbot page has fixed prices. If you need an agent that also acts on your systems behind a human confirm step, see custom AI agents. The design decisions are written up in semantic caching for edge RAG and LLM observability with OpenTelemetry.
How I work
Solo, end to end
Schema to deployment — no hand-offs, no coordination tax. You get one person who owns the whole system.
Production-first
Built for real users and real failure modes, not a happy-path demo. Guardrails, tests, and honest limits.
Fast, AI-native
An AI-augmented workflow that ships in days what used to take weeks — without cutting the corners that matter.
Honest by default
No fabricated metrics or vanity claims. If a number is here, it's real — that's the whole point of this site.
Ways to work together
Full-time
Senior or lead engineer, remote / hybrid / on-site. Open now.
Contract / freelance
A defined build or an ongoing engagement — I own it end to end.
Consulting
Architecture reviews, RAG/agent design, or unblocking a stuck AI feature.
Based in Hyderabad, India (IST) — comfortable remote, hybrid, or on-site, and effective across global time zones.