Muhammad Shahan Butt

AI/ML Engineer with hands-on experience in computer vision, LLMs, and deploying machine learning models. Skilled in building YOLO-based detection systems and developing AI APIs using Python and FastAPI.

Experience with Retrieval-Augmented Generation (RAG) and integrating AI solutions into real-world applications.

Machine Learning Engineer Intern at NKU Technologies (2024-07 – 2024-10)

Worked on developing and improving computer vision models for object detection and image recognition using deep learning techniques.

• Implemented YOLO-based detection pipelines and used OpenCV for image processing and real-time vision tasks.
• Built and deployed ML inference APIs using Python and FastAPI to enable real-time predictions.
• Assisted with dataset preparation, model training, and performance evaluation to improve model accuracy.
• Collaborated with the development team to integrate AI models into production systems.

Data Analyst at M-Links Real Estate (2025-11 – 2026-03)

Analyzed property datasets to identify trends in pricing, demand, and location preferences.

• Analyzed property datasets to identify trends in pricing, demand, and location preferences.
• Performed data cleaning and preprocessing to improve data quality and reliability.
• Generated insights and reports to support pricing strategies and business decisions.

Software Developer (Freelance) at Self-Employed (2025-11 – 2026-01)

Developed backend services using Python and FastAPI for data processing and automation tasks.

• Developed backend services using Python and FastAPI for data processing and automation tasks.
• Built lightweight AI-powered features and experimented with LLM-based applications.
• Designed REST APIs and integrated them with relational databases.

Bachelor of Computer Science in Computer Science – University of Management and Technology (2021-10 – 2025-09)