• Designed ML model to predict wafer deformation, enhancing layer alignment accuracy despite noisy sensor data
• Ideated and compared data encoding techniques for wafer deformation data to increase prediction accuracy
• Achieved a 10% improvement in alignment accuracy on test datasets – demonstrating potential of ML to advance chip manufacturing processes at ASML

• Developed time-series ML models to generate day-ahead power forecasts for PV solar plants using weather data
• Deployed models across solar plants with 600 MWp cumulative capacity, achieving 30% reduction in regulatory fines
• Created a time-series event detection model to disaggregate household energy use from voltage & current signals

• Awarded $3,000 research scholarship to study adversarial attacks on ML models for visual object detection
• Designed a detection framework to identify and localize Trojan signatures in compromised ML models

GPA: 9.0 / 10 | Graduated with Cum-Laude and from the Masters Honours Programme

Thesis topic Decentralized Real-Time Planning for Multi-UAV Cooperative Manipulation via Imitation Learning. Supervised by Prof. Javier Alonso-Mora and Dr. Sihao Sun. Thesis submitted in IEEE MRS 2025.

GPA: 8.3/10 | Graduated with First-class Honours

Thesis on Continuous Contact based Skating Robot. Supervised by Prof. Jitendra Prasad Khatait. Published two journal papers in ASME JMR, ASME JAVS.

Team leader of robotics team at IIT Delhi. Awarded $20,000 for winning robot design contest organised by Micron Tech.