
Research Scholar at CSRE, IIT Bombay. Deep Learning | Computer Vision
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Indian Institute of technology
Data Scientist
June 16, 2026 – Present
MAML-SR
August 15, 2023 – August 21, 2023
Official implementation of "MAML-SR: Self-Adaptive Super-Resolution Networks via Multi-scale Optimized Attention-aware Meta-Learning" (PRL'23)
View ProjectEVML
August 15, 2023 – August 15, 2023
Official implementation of "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images" (TGRS'23)
View ProjectDAFOSNET
August 8, 2023 – December 18, 2023
Official Implementation of "Domain Adaptive Few-Shot Open-Set Learning" in IEEE/CVF International Conference on Computer Vision (ICCV'23)
View ProjectMORGAN
December 12, 2022 – March 16, 2023
Official Implementation of "MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network" (WACV23)
View ProjectSPN
January 1, 2022 – January 4, 2023
Official Implementation of "SPN: Stable Prototypical Network for Few-Shot Learning-Based Hyperspectral Image Classification" (GRSL22)
View ProjectOCN
October 10, 2021 – January 4, 2023
Official Implementation of "Few-Shot Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network" (WACV22)
View ProjectCultural Fit Analysis
The candidate's projects are highly specialized in academic research, specifically few-shot learning and open-set recognition. While this demonstrates deep technical expertise, the lack of diverse project types (e.g., industry applications, data engineering, MLOps) suggests a potentially narrow focus for a general Data Scientist role. The single listed experience at 'Indian Institute of technology' as a 'Data Scientist' starting in the future (2026) with no end date and marked as current is unusual and lacks clarity, making it difficult to assess real-world cultural fit or team collaboration experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily academic research implementation, and no psychometric or English test scores are provided.