Enthusiastic to contribute to computer vision society using Artificial Intelligence. Currently doing Ph.D. in supervised/unsupervised super-resolution.
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Sardar Vallabhbhai National Institute of Technology
Data Scientist
June 16, 2026 – Present
DUSGAN
August 11, 2021 – November 19, 2021
Official code of "Direct Unsupervised Super-Resolution using Generative Adversarial Network (DUS-GAN) for Real-World Data" published in an IEEE Transaction in Image Processing (TIP).
View ProjectChasNet
April 15, 2021 – April 15, 2021
Official code of "Channel Split Convolutional Neural Network (ChaSNet) for Thermal ImageSuper-Resolution"
View ProjectUSISResNet
July 13, 2020 – February 15, 2022
This repository includes code of training/testing of our work published in NTIRE-2020 workshop titled "Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network".
View ProjectCultural Fit Analysis
The candidate's projects are heavily research-oriented and academic, focusing on image super-resolution. While this demonstrates strong technical depth in a specific area, the diversity of projects and breadth of skills for a general 'Data Scientist' role is limited. The single listed experience as 'Data Scientist' at an academic institution, with a future start date, suggests a strong academic inclination. This might indicate a fit for research-heavy data science roles but less so for broader industry applications requiring diverse problem-solving and business acumen.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.