Professional Experience

Research Assistant

Mentor: Dr. Sudipta Roy

July 2024 - Present

• Developing a self-supervised model for early detection of Non-Alcoholic Fatty Liver Disease from ultrasound scans.
• Utilizing ResNet-18 bottleneck, Eco-Texture features, and spatial attention mechanisms for fat localization.
• Using federated learning to ensure privacy and Explainability techniques to enhance model insights.
• Collaborating with radiologists to refine the model with weekly feedback from live deployment in government hospitals.

Research Intern

Mentor: Dr. Jagannath Nirmal

Aug 2023 - June 2024

• Developed a wavelet-based multi-resolution analysis framework for crown-of-thorns starfish (COTs) detection, achieving 95% classification accuracy.
• Published findings in IMTS Springer Journal, showcasing advancements in integrating GLCM-based texture analysis with the second-order statistical feature extraction.

Software Development Intern

Manager: Ms. Nidhi Kumari

June 2023 - Aug 2023

• Built the backend for a Speech-to-Text POC, incorporating speaker diarization on Google Cloud Platform to enable accurate agent profiling.
• Applied Zero-Shot learning to enhance Risk Control Matrix (RCM) management, comparing models for better compliance and banking insights.

Research Intern (Biomedical Imaging and Bioinformatics Lab)

Mentor: Dr. Pradipta Maji

May 2022 - July 2022

• Developed advanced color normalization techniques for H&E stained images, utilizing RGB, HSI, and Lαβ models.
• Incorporated Gaussian Mixture Models to reduce noise and applied non-linear normalization to enhance image quality.
• Utilized the Akaike Information Criterion (AIC) to confirm HSI as the optimal color channel for enhancing breast cancer cell detection accuracy.