Founder and Chief Scientist of a stealth AI startup with 8+ years of experience at world's leading technology companies. PhD in Electrical and Systems Engineering (Robotics) from University of Pennsylvania with specialized expertise in machine learning, computer vision, and autonomous systems.

Industry Leadership: Built and deployed large-scale language models at Amazon serving millions of customers across global marketplaces. Led entire ML pipeline development for customer service automation, including "where is my item" and "delivered but not received" resolution systems, significantly improving customer experience and operational efficiency.

Technical Excellence: Proven track record in cutting-edge AI research and deployment across autonomous driving (Rivian), consumer electronics (Apple), search algorithms (Google), mobile AI (Samsung), and GPU computing (NVIDIA). Deep expertise in computer vision for UAVs, graph-based motion planning, and multi-agent reinforcement learning systems.

Research Impact: Published extensively in top-tier conferences with focus on graph policy gradients for large-scale robot control, neural networks for motion planning, and memory-augmented control systems. Work cited by leading researchers in robotics and AI communities with significant academic and industry impact.

Entrepreneurial Vision: Currently building next-generation AI solutions through stealth startup, leveraging decade of experience from PhD research through senior roles at Fortune 500 companies. Combines deep technical expertise with practical deployment experience to create scalable AI systems.