Amazon ML Summer School 2026
Selected among approximately 3,000 students from 134,000+ applicants nationwide for Amazon's Machine Learning Summer School 2026.
Recognition, publications, and milestones that have shaped my work so far.
Selected among approximately 3,000 students from 134,000+ applicants nationwide for Amazon's Machine Learning Summer School 2026.
Ranked 14 / 1,500+ · Top 0.9% in the NTIRE 2026 Efficient Low-Light Image Enhancement challenge.
Our work on lightweight image enhancement was included in the CVPR 2026 Workshop Proceedings, with the model designed under a strict 1 MB model-size constraint and approximately 250K parameters.
Ranked AIR 241 / 82,000+ · Top 0.3% in the Amazon ML Challenge 2025 for Multimodal Price Prediction.
Final SMAPE: 45.47%.
Ranked 186th among 2,000+ participants in the WiDS Datathon 2025.
Ranked 31st among 200+ teams in the Smart India Internal Hackathon 2025.
Worked on E-Sannidhi, an offline-first telemedicine platform designed to connect healthcare workers and patients in environments where reliable internet connectivity could not be assumed.
CVPR 2026 Workshop Proceedings
Co-authored work on efficient low-light image enhancement, focusing on achieving competitive enhancement quality under strict computational and model-size constraints.
Word's Worth Club · KLE Technological University
2023 – Present
Led research and documentation across 14 workshops and 8 competitions, while also representing KLE Technological University at 2 intercollegiate events.
The role has involved maintaining institutional knowledge, preparing event documentation, coordinating information across teams, and making research and documentation useful beyond the immediate event.
Recognition is only one part of the story. The projects and experiences behind it are where most of the learning happened.