CV
Education
- M.S in Computer Science, Texas A&M University, 2027 (expected)
CGPA - 4.0/4.0
Courses Taken -- Fall ‘25 -
- Computer Architecture
- Deep Reinforcement Learning
- Vision Foundational Models
- Spring ‘26
- Analysis of Algorithms
- Information Storage and Retrieval
- Natural Language Processing
- Fall ‘25 -
- B.Tech. in Mechanical Engineering (Hons.), IIT Bombay, 2021-25
Work experience
- Summer 2024: Summer Intern at Accenture India
- Built Smart ACP features with Spring Boot; used DataRobot for capacity planning
- Automated data analysis with SageMaker to improve forecasting
- Developed API load tests with Azure tools, cutting latency by 20%
- 2024-25: Undergraduate Researcher under Prof. Biplab Banerjee
- Developed JEPA-Based models for cross-modal and uni-modal image retrieval
- Integrated statistical variance-covariance based regularization to prevent model collapse
- Achieved better performance on remote sensing datasets of FMoW and BigEarthNet
- Autumn 2023: Undergraduate Researcher under Prof. Shyamprasad Karagadde
- Reviewed modeling techniques for non-linear dynamical systems
- Simulated multi-dimensional heat equation in binary alloys and analyzed key system parameters
- Used SINDy and PINNs to extract heat equations; tested robustness with noisy data
Skills
- C++
- Python
- Pytorch
- JAX
- Tensorflow
- MATLAB
Publications
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
Choudhury, S., Salunkhe, Y., Mehrotra, S., & Banerjee, B. (2025). REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval. In Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 2373-2382).