| Jun, 2026 | Terahertz reflectivity dataset: Reading text on both sides of the page , a dataset paper comprising of open access terahertz scans of various paper-ink combinations along with a deep learning CNN benchmark for prediction and visualisation published in Data in Brief, Elsevier journal. |
| Apr, 2025 | Video Summarization and Fracture Detection in Pediatric Wrist Ultrasound Using Deep Reinforcement Learning accepted for publication at 47th IEEE Engineering in Medicine and Biology Conference to be held in Copenhagen, Denmark in July 2025. |
| Apr, 2025 | Remotely interning with the Machine Learning team at Aurva, Bengaluru. Working on effective utilization and integration of LLMs for domain specific question-answering and data security based compliance report generation. |
| Jan, 2025 | Selected to attend Reinforcement Learning Workshop 2025 in-person at Indian Institute of Sciences, Bengaluru. Awarded travel and accomodation. |
| Jan, 2025 | Paper Accepted - Shoulder Rotator Cuff Tear Detection from Ultrasound Videos using Deep Reinforcement Learning at 22nd IEEE International Symposium on Biomedical Imaging (ISBI 2025). |
| Dec, 2024 | Presented NIDUS Lab’s IC-IMPACTS project on ‘Deep Learning for Automatic Assessment of Lung Ultrasound’ at IC-IMPACTS Legacy Conference 2024, India Habitat Centre, New Delhi. |
| May, 2024 | Interned at NIDUS Lab, University of Alberta. Onsite in Edmonton, Canada. Hosted by Prof. Abhilash R. Hareendranathan |
| Nov, 2023 | Paper Accepted - Predicting Optimal Startup Exit Strategies with Ensemble Learning for Venture Capitalists. Won the best paper award at Springer International Conference on Artificial Intelligence and Speech Technology 2023. |
| Sep, 2023 | Paper Accepted - Comparing Nash Equilibrium Convergence for Rock-Paper-Scissors Algorithms at IEEE International Conference on Computing, Communication, and Intelligent Systems 2023, Sharda University, India |