👨💻 Navneeth Subramanian
🔍 Computer vision expert with 20+ years of leadership in AI and software engineering. Currently a Group Manager at Bosch Japan developing ADAS perception systems for automotive applications.
🖼️ Previously served as Principal Engineer & Manager at Canon developing deep learning algorithms for imaging products.
🏥 Imaging Scientist at GE Research creating medical imaging solutions.
✨ Notable Achievements
- 📸 AI-powered autofocus systems for professional cameras
- 🔧 Semi-Conductor process yield improvements using AI
- ❤️ Real-time biometrics on cardiac structures in ultrasound images
- 💻 GPU-accelerated volume rendering for surgical applications
📝 Author of 20 peer-reviewed publications and inventor on 10+ US patents. M.S. from SUNY Buffalo with expertise in PyTorch, TensorFlow, C++, and Python.
🚀 Specializes in optimizing neural networks for deployment on resource-constrained hardware while maintaining high performance.
🧠 Topics That Interest Me
- 🔄 Methods to generate and use synthetic data in training neural nets
- 📊 Loss functions and the peculiar ways in which neural networks learn to cheat in reaching a loss objective
- 🌟 Neural Radiance Fields (NeRFs) - fascinating advances related to my previous work in volume rendering