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.
01WHAT I BUILD
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
02SELECTED WORK
Five shipped systems. Three featured.
STACK · DAILY DRIVERS
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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