Education
KTH Royal Institute of Technology, Stockholm · Advisors: Prof. György Dán, Prof. Viktoria Fodor
Cooperative and safe reinforcement learning for optimizing edge computing applications. Developing algorithms that enable safe cooperation among distributed edge agents, integrating multi-agent coordination, safety enforcement, and real-time adaptation.
Indian Institute of Technology Madras · Minor in Computing · CGPA 9.15/10 · Advisor: Dr. Rachel Kalpana Kalaimani
Thesis: Formation and containment control for multi-agent systems with obstacle avoidance and adversary mitigation. Developed a resilient control framework using Exponential Control Barrier Functions and a 2D extension of the W-MSR algorithm.
Experience
KTH Royal Institute of Technology
Developing cooperative safe-RL algorithms for edge computing systems under network, computation, and safety constraints, with a focus on multi-agent coordination, distributed decision-making, and safety enforcement via control barrier concepts.
Indian Institute of Science (IISc), Bangalore
Worked under Prof. Pavan Kumar Tallapragada on quantized Friedkin–Johnsen dynamics, analyzing convergence and robustness in distributed decision-making processes.
Qualcomm, Noida
Automated version control, stub generation, and constraint analysis for SoC interconnections, improving integration efficiency and timing-closure automation.