AI & LLM Engineer · Full Stack Developer ↯
5+ years building production AI systems — RAG pipelines, LLM agents, Computer Vision & NLP. I design things that actually work, with numbers to prove it.
Hey! I'm an AI & LLM Engineer and full stack developer who obsesses over production systems — not just demos. I've spent 5+ years building things that run at scale: RAG pipelines, multi-agent workflows, computer vision systems, and MLOps infrastructure.
Currently at Turing as an AI & LLM Engineer and full stack developer, building high-fidelity computer usage datasets for GUI-based AI agents, and doing LLM research on agentic reasoning frameworks (CoT, ToT, Plan-Execute).
I care deeply about measurable outcomes — p95 latency, retrieval hit@10, cost/request. If I can't measure it, I'm not done.
Based in Pakistan 🇵🇰 · Open to remote globally
A deployed knowledge management system on GCP Cloud Run. Intelligent document ingestion, semantic search, and context-aware Q&A for organizational knowledge.
AI-powered presentation assistant. Auto-generates slide decks from natural language prompts, deployed on Railway with a polished frontend.
Summarizes Stack Overflow threads using LLMs — extracts the best answer signals, strips noise, and serves concise dev-friendly explanations.
Real-time safety compliance system using YOLOv8 — detects helmets on construction sites and reads license plates with OCR for access control.
Parses Terraform config files and generates interactive dependency graphs — helps DevOps teams understand infrastructure topology at a glance.
Semantic resume ↔ JD matching with explainability. Per-field match scoring, gap analysis, and LangGraph improvement agent.
⏳ Building now...
Open to remote roles, freelance projects, and interesting collaborations. Drop me a message — I reply fast ⚡