Keivalya Pandya — Product Manager
I am a robotics and AI researcher working at the intersection of learning, control, and interpretability -- building systems that not only act intelligently in the physical world, but whose reasoning we can understand, trust, and improve. My work spans robot learning, reinforcement learning, and vision-language-action models, with a focus on enabling autonomous agents to move from reactive behavior to structured reasoning and robust decision-making. With a foundation in mechanical engineering and a systems-level understanding of robot dynamics and control, I approach intelligence as something that must bridge perception, cognition, and embodiment. I am particularly interested in: > Mechanistic interpretability for embodied AI > Reinforcement learning for long-horizon decision-making > Vision-language-action models for generalizable robot behavior > Bridging model-based control with learned world models > Scaling robot learning from simulation to real-world deployment My research philosophy is simple: Intelligence should be grounded, interpretable, and deployable. Across my academic and research journey, I have worked on autonomous manipulation and navigation systems, contributed to reinforcement learning education, and explored how large-scale models can interface with physical agents. I aim to push toward a future where robots do not merely execute policies -- they reason about the world, adapt safely, and collaborate seamlessly with humans. I am driven by long-term impact: building embodied intelligence that advances science, industry, and human capability. If you’re working on frontier AI, robot learning, or interpretability for embodied systems -- I’d love to connect.
Stackforce AI infers this person is a Robotics and AI Researcher with a focus on Reinforcement Learning and Autonomous Systems.
Location: Boston, Massachusetts, United States
Experience: 2 yrs 6 mos
Skills
- Reinforcement Learning
- Leadership
- Generative Ai
- Artificial Intelligence (ai)
- Computer Vision
Career Highlights
- Expert in Reinforcement Learning and Robot Learning.
- Strong background in Mechanical Engineering and AI.
- Passionate about building interpretable AI systems.
Work Experience
Khoury College of Computer Sciences
Graduate Teaching Assistant (4 mos)
Familiar Machines & Magic
Reinforcement Learning Intern (3 mos)
Northeastern University
Research Assistant (3 mos)
Khoury College of Computer Sciences
Research Apprentice (3 mos)
Graduate Teaching Assistant (3 mos)
Birla Vishvakarma Mahavidyalaya
Junior Research Fellow (5 mos)
Researcher (3 mos)
IITD-AIA Foundation For Smart Manufacturing
Machine Learning Mentor (4 mos)
ISRO - Indian Space Research Organisation
Researcher (6 mos)
IITD-AIA Foundation For Smart Manufacturing
Machine Learning Intern (4 mos)
Summer Intern (2 mos)
BrightChamps
Robotics Instructor (1 yr 11 mos)
Progragon Technolabs
WordPress Developer Intern (0 mo)
Education
Master of Science - MS at Khoury College of Computer Sciences
Bachelor of Technology - BTech at Birla Vishvakarma Mahavidyalaya
Introduction to Quantum Computing at Frontier Technology Institute
Higher Secondary at Bright Day School CBSE
Student Exchange at Ural State Technical University
