Experience
My professional journey through various roles, internships, and contributions to the AI and technology landscape.
Researcher
Key Achievements
Co-authored the research paper “Early Detection of Forest Fire Using Fine-tuned MobileNetV2: A Lightweight Deep Learning Approach.”
Focused on creating a lightweight model suitable for low-resource, fire-prone environments where early detection is critical.
Presented the work at ISMS 2024-25 (Feb 22-23, 2025).
Published in SCOPUS-indexed Springer LNNS proceedings.
Authors: Prathamjyot Singh, Dr. Sanjeev Rao, Yugan Dhar, Moksh Sharma
Researcher
Key Achievements
Co-authored the paper “AI-Driven Legal Summarization: A Hybrid Framework Integrating Automatic Speech Recognition, Diarization, and BART for Courtroom Proceedings,” accepted for presentation at IC3 2025.
Designed an end-to-end pipeline integrating ASR, speaker diarization, and transformer-based summarization to automate legal documentation.
The paper was accepted among the top 35% of submissions and will be published in the IEEE Xplore digital library.
Authors: Prathamjyot Singh, Dr. Sanjeev Rao, Dr. Jasmeet Singh, Yugan Dhar, Moksh Sharma, Pranav Chawla
Kaggle Expert
Key Achievements
Achieved Kaggle Expert status in Datasets, Notebooks, and Discussions.
Ranked under 800 in Notebooks, Discussions, and under 400 in Datasets (as of Feb 22, 2025).
Contributed high-quality datasets and notebooks, actively engaged in community learning.