people

I’m an undergraduate student in the University of Richmond in Richmond, VA, USA, and I am pursuing Bachelor’s of Science degree in Computer Science. I’m currently working as a research fellow at Carnegie Mellon University Robotics Institute’s Advanced Agent – Robotics Technology Lab, where I am advised by Prof. Katia Sycara and Dr. Woojun Kim. My research focuses on developing safe Hierarchical MARL methods for persistent environment coverage in presence of a spatiotemporal risk, such as fire or smoke. I also work as a research asistant in University of Richmond’s Robotics Lab, where I am advised by Dr. Patrick Martin. In Richmond, I am studying whether the internal optimization behavior of safety-methods like adaptive control barrier functions could provide us feedback signals for forecasting safety rather than just filtering safety.

My other research experiences include Physics-informed Neural Networks with Dr. Jack Singal, where I am studying the applicability of the Lagrangian and Hamiltonian Neural Networks in dissipative mechanical systems. I have also worked as a research software engineering intern in the University of Chicago’s Data Science Institute Summer Lab program (2025). As an SWE intern, I developed the first interactive mobile application for measuring downgaze palsy in diagnosis of Progressive Supranuclear Palsy in the HCI lab.

Non-tech: I love traveling and playing cricket!

I’m an undergraduate student in the University of Richmond in Richmond, VA, USA, and I am pursuing Bachelor’s of Science degree in Computer Science. I’m currently working as a research fellow at Carnegie Mellon University Robotics Institute’s Advanced Agent – Robotics Technology Lab, where I am advised by Prof. Katia Sycara and Dr. Woojun Kim. My research focuses on developing safe Hierarchical MARL methods for persistent environment coverage in presence of a spatiotemporal risk, such as fire or smoke. I also work as a research asistant in University of Richmond’s Robotics Lab, where I am advised by Dr. Patrick Martin. In Richmond, I am studying whether the internal optimization behavior of safety-methods like adaptive control barrier functions could provide us feedback signals for forecasting safety rather than just filtering safety.

My other research experiences include Physics-informed Neural Networks with Dr. Jack Singal, where I am studying the applicability of the Lagrangian and Hamiltonian Neural Networks in dissipative mechanical systems. I have also worked as a research software engineering intern in the University of Chicago’s Data Science Institute Summer Lab program (2025). As an SWE intern, I developed the first interactive mobile application for measuring downgaze palsy in diagnosis of Progressive Supranuclear Palsy in the HCI lab.

Non-tech: I love traveling and playing cricket!