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suhanpahari/README.md

About me

I am a final-year B.Tech student in Computer Science (Data Science) at the University of Petroleum and Energy Studies, graduating in May 2026. My research interests lie at the intersection of computer vision, deep learning, and generative modeling — with a focus on 3D perception, saliency-aware architectures, and multimodal reasoning.

I am currently a Computer Vision Research Intern at the CVPR Unit, Indian Statistical Institute (ISI) Calcutta, under the supervision of Prof. Ujjwal Bhattacharya, working on 4D world model and 3D computer vision.

Research & Experience

Research Intern @ ISI Calcutta (CVPR Unit) · Research Intern & Team Lead @ NIT Warangal (Dept. of AI)

At NIT Warangal, I led a team of 4 on a drug discovery framework — a custom encoder–decoder trained on 1.13M drug–indication pairs — with results published in the Journal of Computer Aided-Molecule Design. I was also individually selected for a funded medical image processing project at NITW.

Recognition

  • Recipient of the SHODH research grant from UPES R&D for the agricultural IoT project Agirveda
  • Winner, Smart India Hackathon 2025 (University Level) — advancing to the national round
  • 2 Patents published in Vision-Based IoT Devices (IDs: 202511124760, 202511106511)
  • Scored 99.28 percentile in Mathematics, CUET 2022

Email · LinkedIn · Google Scholar · GitHub

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  1. SemGeoAttnNet SemGeoAttnNet Public

    Forked from sohampahari/SemGeoAttnNet

    Official github repository of the SemGeo Attention Net code base

    Python 1

  2. sohampahari/TriadNet sohampahari/TriadNet Public

    Official code directory of TriadNet.

    Python

  3. PrepAI PrepAI Public

    Practice makes perfect. PrepAI is your personal interview simulator that conducts realistic mock interviews with AI-generated questions. Get real-time video recording, performance insights, and the…

    Python 1 2

  4. research-limitations-platform research-limitations-platform Public

    A web platform to crawl research papers from arXiv, extract limitation sections, and explore them with Gemini AI.

    TypeScript 1 1