Saad Azeem

Computer Science undergraduate specializing in AI, Machine Learning, and Generative AI frameworks. Proven experience engineering multi-agent architectures, scalable RAG pipelines, and intelligent automation solutions. Skilled in building robust backend microservices, optimizing neural processing systems, and deploying end-to-end scalable AI workflows.

AI/ML Engineer & Independent Project Developer - Self-employed - Karachi, Pakistan

(2025-01)

• Developed end-to-end AI and Machine Learning applications using Python for intelligent automation, recommendation systems, and workflow optimization
• Built multi-agent AI systems using LangChain, LangGraph, and CrewAI for task orchestration, contextual reasoning, and autonomous workflows
• Designed Retrieval-Augmented Generation (RAG) pipelines with ChromaDB and vector embeddings for semantic search and document intelligence
• Implemented RESTful APIs and backend services using FastAPI for scalable AI model deployment and integration
• Applied NLP, Computer Vision, and Deep Learning techniques using Hugging Face, OpenCV, TensorFlow, and PyTorch
• Utilized Git, Docker, Streamlit, and AWS for version control, deployment, and application scalability

BS in Computer Science (BSCS) - Computer Science - Federal Urdu University of Arts, Science and Technology (2023-05 - 2027-06)