Innovative AI R&D Lead with 10 years specializing in Computer Vision, Deep Learning, and production-ready ADAS solutions for automotive leaders. Proven contributor to patented technologies, including Multi-Task Origin Agnostic BEV Perception. Expertise in zero-to-production algorithm development, multi-task neural network optimization, and robust perception systems.
- Spearheaded AI R&D for advanced ADAS perception systems delivered to global automotive leaders.
- Co-invented patented BEV perception models; optimized multi-task neural networks for edge inference constraints.
- Engineered zero-to-production computer vision algorithms spanning parametric lane detection, targetless trailer tracking, and dynamic camera calibration.
- Delivered highly optimized, low-resource perception models achieving strict KPI parity and deployment standards.
- Engineered core algorithms targeting stereo depth perception, 3D point cloud reconstruction, and customized camera calibration.
- Led end-to-end computer vision product development lifecycles from rapid prototyping to production-scale deployment.
- Mentored engineering personnel; structured technical task planning for cross-functional product execution.
[Title Generalized for IP] Advanced BEV Perception System
[Title Generalized for IP] Long Range Surround View Perception
[Title Generalized for IP] Intelligent 3D Lane Guidance System
Real-Time Extremely Low Resource Environment Based Multi-Task Learning Guided Emergency Vehicle Light Detection
Gooseneck and Fifth Wheel Trailer Hitching and angle prediction