Ashwin Kumar

Ashwin Kumar is an accomplished researcher with significant experience in artificial intelligence and multi-agent systems. Ashwin began as a Design and Engineering Intern at Bubblefly Technologies Private Limited, focusing on the ergonomic design of an interior enclosure system for an RC plane and an adaptable battery mount. Ashwin advanced to a PhD Candidate at Washington University in St. Louis, specializing in fair resource allocation using reinforcement learning, while also serving as an Assistant in Instruction for the Introduction to Artificial Intelligence course, assisting over 130 students. Research as a Graduate Research Assistant furthered expertise in multi-agent reinforcement learning. At Meta, Ashwin worked as a Research Scientist and Research Intern, addressing bias in classifiers and developing novel metrics for detecting prefix bias in preference models. Ashwin also contributed to research internships at the Indian Institute of Science, focusing on dimensional reduction techniques for hyperelastic geometries. Education culminated at Washington University in St. Louis, with a perfect 4.0 GPA.