I'm pursuing an M.Tech. in AI at IIT Kharagpur and build applied machine learning systems across routing, robotics, healthcare, and computer vision.
I designed a dual-head GATv2 Actor-Critic pipeline for city-scale transit route design, combining PPO, GAE, dynamic graph masking, UXsim dispatching, and travel-time-aware rewards.
For autonomous navigation on the BARN Benchmark, I combined A* planning, LiDAR free-space navigation, obstacle tracking, and recovery mechanisms, improving success rates from 60% to 80% while reducing collisions by 50%.
I've also built image-forgery and ECG-arrhythmia models, achieving 91.4% accuracy for forgery detection and 97.8% validation accuracy for six-class arrhythmia classification. As a Subject Matter Expert intern at TAAI, I created GATE DA materials and mentored learners in Python, algorithms, and machine learning.
