Arbaaz Khan

Founder & Chief Scientist | Ex-Amazon Senior Applied Scientist | PhD UPenn Robotics

Ask me about

Building and deploying large-scale language models
Computer vision for autonomous systems
Multi-agent RL systems

Areas of expertise

Machine LearningComputer VisionRobotics

About my work

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.

Experience

Founder & Chief Scientist

Current

Stealth AI Startup

Founded stealth-mode AI startup leveraging decade of experience in machine learning and robotics. Building next-generation AI solutions combining academic research excellence with proven industry deployment expertise. Focus on scalable AI systems with real-world applications.

Senior Applied Scientist

Amazon

Led development of large language model pipeline for customer service automation serving millions of customers globally. Built and deployed LLMs handling complex queries including where is my item and delivered but not received across multiple marketplaces and languages. Managed entire ML pipeline from training to deployment, achieving significant improvements in customer satisfaction and operational efficiency.

Autonomous Driving Software Engineer

Rivian

Developed computer vision and machine learning algorithms for autonomous driving systems in electric vehicles. Built perception, motion planning, and control systems for next-generation autonomous vehicle platform. Applied cutting-edge AI research to real-world autonomous driving challenges.

Research papers

Graph policy gradients for large scale robot control

Published: 2020-05-12

Graph neural networks for motion planning

Published: 2020-06-11

Memory augmented control networks

Published: 2017-09-17