Aug 2024 – May 2025 · 9 mos · Mumbai, Maharashtra, India · On-site

• Worked with the client National Stock Exchange of India (NSE) to enhance their trading infrastructure for the Commodity Market.
• Developed multiple backend utilities enabling efficient communication across system layers for automated report generation and system maintenance, reducing manual effort and improving operational efficiency.

Jul 2023 – Sep 2023 · 2 mos · Bengaluru, Karnataka, India

• Worked under PhD Scholar Helen Thomas and Prof. Tarun Rambha
• Applied Reinforcement Learning algorithms like Deep Q Networks, DDQN, and C51DQN on state-of-the-art traffic simulation software (PTV Vissim) to minimize individual and collective delay experienced by vehicles in a parking lot environment.
• Integrated CARLA and PTV Vissim to create a preliminary simulation and data collection system for user inputted driving behaviours.

Feb 2023 – May 2023 · 3 mos · Pune, Maharashtra, India · On-site

• Studied and applied computer vision architectures like Siamese Networks and Vision Transformers.
• Detected human activity, trajectories, motion and performed Person Re-Identification in both single camera and multi camera systems.

Dec 2022 – May 2023 · 5 mos · Pune, Maharashtra, India

• Led a team of 9 to design and develop 3 datasets used in DataWiz 2023, a machine learning contest part of Credenz 2023