Impact-driven leader with a legacy of unlocking next-gen technologies and computational models to resolve real-world problems.
In-depth knowledge of multi-agent systems, search and optimization, autonomous systems, auction-based mechanisms, scalable ML systems, and computational mathematics and statistics.
Extensive experience leveraging AI/ML expertise to solve significant problems in domains spanning mission planning, logistics, warehouse automation, autonomous systems (ground and air vehicles), pre-surgical guidance systems, and transportation.
Extensive experience with Carnegie Mellon University, the National Robotics Engineering Center, North Carolina State University, Honeywell, the USDOT, U.S. Department of Defense, Leonardo DRS, U.S. Army AI2C Center etc.
Ability to lead software development teams and develop large-scale distributed simulations, scalable end-to-end AI/ML pipelines, and planning & scheduling algorithms.
Industry thought leader whose work has been featured in leading publications and international conferences.