Building reliable, scalable, and observable AI systems—end-to-end.
AI Engineer specializing in Generative AI, Large Language Models (LLMs), and Autonomous AI Agents.
I design and deploy intelligent systems using LangChain, LangGraph, and RAG, backed by solid engineering with FastAPI, Docker, and LLMOps practices.
- End-to-end agentic workflows that plan, reason, use tools, and interact with humans
- Production-grade focus on reliability, observability, evaluations, and safety
- Experience across open-source and API models (OpenAI, Anthropic, Google, HF)
Currently pursuing a BSc in Computer Science with a focus on applied AI.
Open to collaborations, internships, and full-time roles in GenAI, Agentic AI, and AI infrastructure.
- GenAI & LLMs: LangChain, LangGraph, LlamaIndex, Transformers, Llama 3, Mistral, RAG
- AI Agents: Tool use, Planning, Multi-agent, Human-in-the-loop, CrewAI, AutoGen
- LLMOps: LangSmith (tracing/eval), RAGAS, Guardrails, Prompt Engineering, Monitoring
- Backend & APIs: FastAPI, REST, Docker, Uvicorn, Streamlit
- Vector & Databases: FAISS, Chroma, Pinecone, Weaviate, PostgreSQL
- Cloud & DevOps: AWS, Azure, GCP, Hugging Face Spaces, Linux, Bash, Cron
- Core Languages: Python, SQL, Bash
BSc in Computer Science
Islamia University of Bahawalpur (IUB)
Expected Graduation: 2026
| Certification | Issuer | Date | Credential |
|---|---|---|---|
| Supervised Machine Learning: Regression and Classification | DeepLearning.AI / Stanford | July 2025 | https://www.coursera.org/account/accomplishments/verify/ASVRDMP5VZ4R |
| Neural Networks and Deep Learning | DeepLearning.AI | July 2025 | https://www.coursera.org/account/accomplishments/verify/RM3OMVG18E5L |
| Hands-on Introduction to Linux Commands and Shell Scripting | IBM | July 2025 | https://www.coursera.org/account/accomplishments/verify/OBX2T75WH7L5 |
- Email: [email protected]
- Location: Pakistan