Hammad Aamir K.

I build complete AI applications end-to-end — LLM pipeline, API, job queue, database, billing, front end — and ship them. Not prototypes, not slide decks. 100% Job Success, Top Rated Plus, 4,000+ hours delivered.

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WHAT I DO

▸ AI / LLM systems — multi-stage LLM pipelines, agent orchestration (LangGraph, LangChain), Model Context Protocol (MCP) servers and clients, tool-schema and prompt design, structured and validated model output, vision models, per-run token and cost accounting, vector search (CLIP + FAISS). OpenAI and Google Gemini in production.

▸ Backends that hold up — FastAPI (async), Redis/RQ background workers, PostgreSQL with versioned migrations and stored procedures, Supabase, WebSockets and Server-Sent Events, Docker, Railway, Cloudflare, AWS/GCS, serverless GPU (Modal).

▸ Front ends that match — React 18 + TypeScript, Vite, Tailwind, real-time UI over WebSockets and SSE, and the dashboards, admin panels and onboarding flows that turn a pipeline into a product someone can actually use.

▸ Also, unusually: Blender and 3D automation — Blender Python (bpy) add-ons, procedural generation, render-farm orchestration. Very few engineers do LLM orchestration and bpy, which is how I ended up leading engineering on an AI 3D platform.

▸ The unglamorous parts that decide whether a product survives — subscription and metered billing with atomic, idempotent balance operations, webhook handling, JWT/JWKS auth, multi-tenant scoping, CI, and tests that run against real models and a real database.

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RECENT WORK

• Co-founder and sole engineer of an AI marketing SaaS: a four-stage LLM pipeline behind an async FastAPI service, a Redis-backed job worker, Postgres with versioned migrations, metered credits and subscription billing built on atomic database procedures, and a React + TypeScript front end — architected, built, deployed and operated by one person.

• Lead Engineer on an AI-driven 3D platform (long-running contract, still active): LLM agent systems and MCP servers driving Blender automation — natural language in, rendered scenes out, with camera, lighting, animation and render orchestration behind FastAPI services and a PySide6 desktop application.

• Contract work on AI-assisted 3D product visualization: Blender add-ons on serverless GPU, LLM-driven scene setup, and CLIP/FAISS retrieval over asset libraries.