Hi, I’m Muhammad Nabeel Amin
Innovative Computer Science graduate with 4+ years of experience in industry and academia delivering production-grade machine learning, computer vision, IOT, Deep learning and data-related solutions. I specialize in building scalable Python pipelines, optimizing deep learning models, and translating complex datasets into strategic insights that elevate business impact.
Core focus areas
- End-to-end ML & DL solution delivery (TensorFlow, PyTorch, YOLO, OpenCV, Reinforcement learning, Neural computations,and more)
- Data engineering, analytics, and interactive dashboards (Tableau, Power BI)
- Privacy-aware AI systems and applied research for healthcare and agriculture
- Technical mentorship, community enablement, and cross-functional leadership
Recent highlights
- Automated AI workflows that consistently achieve 90%+ accuracy while reducing operational effort by up to 80%.
- Led precision agriculture research that reached 99.7% training accuracy with optimized CNN architectures.
- Delivered real-time CV and NLP systems leveraging YOLOv5, Transformers, and advanced feature engineering.
- Built scalable analytics dashboards that cut data processing time by 60% and improved decision agility.
- articipated and Lead in multiple hackathons: NASA Space App challenge, Meta Hacker Cup 2025, and Lablabai.