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FULL-STACK AI ENGINEER · ISLAMABAD

Production AI systemsthat don't fall apartin the last 10%.

I build RAG pipelines, agentic workflows, and full-stack LLM products that survive production traffic, edge cases, and 2 a.m. on-calls.

[role] freelance · contract[focus] RAG · agents · LLM apps[stack] LangGraph · FastAPI · React[avail] 2 slots open · May 2026

Three things, built well — not ten things, half-built.

01 / Pillar
> retrieve > rerank > cite ✓
RAG Systems
Retrieval pipelines with mandatory citations, semantic chunking, and sub-2s response times. Hybrid retrieval with cross-encoder reranking — not a top-k cosine match.
LangChainPineconeFAISSReranker
02 / Pillar
orchestrator ├ agent.a ├ agent.b └ agent.c
Agentic Workflows
LangGraph-based multi-agent systems with retry loops, conditional routing, and human-in-the-loop. Fault-tolerant by design.
LangGraphMCPTool use
03 / Pillar
api/v1/* web/* infra/*
AI Products
Full-stack LLM applications: FastAPI on the back, React on the front, observable, deployed, and metered against a hard cost ceiling.
FastAPIReactDockerVercel
01LangChain
02LangGraph
03FastAPI
04Pinecone
05Anthropic
06OpenAI
07React · Next.js
08Pydantic
09Redis
10PostgreSQL
11Docker
12Vercel
01LangChain
02LangGraph
03FastAPI
04Pinecone
05Anthropic
06OpenAI
07React · Next.js
08Pydantic
09Redis
10PostgreSQL
11Docker
12Vercel
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If you're building an AI product
and need someone who'll
treat your codebase like their own —