Muhammad Haris

Machine Learning Engineer with hands-on experience in Computer Vision (CV), Natural Language Processing (NLP), and MLOps. Built and deployed production systems including a real-time CV pipeline serving a live client, an NLP intent classifier at 85% accuracy, and an autonomous agentic content pipeline. Certified in Deep Learning (DeepLearning.AI, 2025). I am Passionate about building impactful AI and deepening my expertise.

Computer Vision Engineer at Freelance Project (2025-01 – 2025-02)

• Engineered a real-time CV inference pipeline for MMA fight-behavior analysis using OpenCV and NumPy, extracting 8 behavioral signals/second from raw video against a formal client requirements specification.
• Deployed via FastAPI and Docker, enabling continuous production-throughput frame processing with structured per-frame JSON output for downstream analytics consumption.

Bachelor of Science in Computer Science – FAST-NUCES, Peshawar