Hamza Fareed

Aspiring AI Engineer with hands on expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Agentic AI. Proficient in building intelligent systems end-to-end from data preprocessing and model training to fine tuning, API development, and cloud deployment. Strong command of the modern AI stack including PyTorch, HuggingFace Transformers, LangChain, and LLM integration via the Anthropic API, paired with full stack development skills across Python, FastAPI, React, and TypeScript.

Experienced in designing RAG pipelines, agentic loops with real function calling, computer vision tracking systems, and NLP driven applications taking ideas from concept to production. Passionate about building AI that actually works in the real world, not just in notebooks

Machine Learning Intern at BlenSpark (2026-02 – 2026-02)

• Gained practical exposure to machine learning workflows and model development in a professional environment
• Worked with full stack development tools and contributed to React based frontend components
• Collaborated with the engineering team to understand how AI and web technologies integrate in real world products
• Strengthened hands on skills in ML concepts and full stack development through applied team based work

BS in Artificial Intelligence – University of Management and Technology (UMT) (2022 – 2026)