AI Full Stack Engineer specializing in building production-grade AI applications, RAG systems, and scalable full-stack web platforms.
I focus on designing and deploying intelligent systems using modern LLM frameworks, backend architectures, and cloud infrastructure.
- Build AI-powered applications using LLMs (OpenAI, Vertex AI, Bedrock, open-source models)
- Design and implement RAG pipelines, agentic workflows, and multi-agent systems
- Develop full-stack web apps using React / Next.js + FastAPI / Node.js
- Deploy scalable systems using Docker and AWS EC2
AI / LLMs
- OpenAI API, GPT-4/4o
- LangChain, LangGraph
- RAG Pipelines (FAISS, Pinecone, Chroma, pgvector)
- Vertex AI, Amazon Bedrock
- Ollama, DeepSeek, Llama models
- Prompt engineering, function calling
Full Stack
- Next.js, React.js
- Node.js, FastAPI
- PostgreSQL, Supabase
- REST APIs, System Design
Infrastructure / DevOps
- Docker, Linux, GitHub Actions
- AWS EC2, Nginx
- Redis, Celery
- CI/CD pipelines
Multimodal RAG System
- Built a retrieval system for text, images, and charts inside PDFs
- Used CLIP, BLIP, FAISS, Sentence Transformers, and GPT-4
AI Video Generation Pipeline
- Designed multi-agent workflow using LangGraph
- Automated script generation, TTS, and video assembly (FFmpeg)
RAG Benchmarking System
- Compared RAG Fusion, HyDE, CRAG, GraphRAG
- Built evaluation framework for retrieval + generation performance
- Top 30 in ICPC National Round (International Collegiate Programming Contest)
- 📍 Based in Islamabad, Pakistan
- 🎓 FAST NUCES Graduate
- 💡 Passionate about AI systems, LLM applications, and scalable backend engineering
- 🤝 Open to AI engineering and full-stack opportunities