Education

• B.Tech in Electronics and Communication Engineering, University of Calcutta, Kolkata, 2021–2025
• Minor in Business Administration, Indian Institute of Technology, Patna, 2023-25
• Indian School Certificate Examination (ISC), Don Bosco School, Liluah, 2021
• Indian Certificate of Secondary Education (ICSE), Don Bosco School, Liluah, 2019

Work experience

• Indian Institute of Technology (IIT), Delhi
  • Winter Research Intern, Dec 2024 – May 2025 (Supervisor: Dr. Tapan Kumar Gandhi)
  • Graph-based deep learning methods with explainable AI for anxiety state detection using EEG signals
  • Explainable deep learning framework for robust brain tumour detection from MRI scans
• Maulana Azad National Institute of Technology (MANIT), Bhopal
  • Project Intern, Aug 2024 – Mar 2026 (Supervisor: Dr. Varun Bajaj)
  • Cross-modal deep learning for cognitive task decoding in BCI applications using EEG–fNIRS signals
  • Deep learning pipeline for Parkinson’s disease diagnosis using VR-based eye-tracking oculomotor biomarkers
  • LLM benchmarking frameworks for clinical note analysis and reasoning
• Indian Institute of Science (IISc), Bengaluru
  • IASc-INSA-NASI Summer Research Fellow, May 2024 – July 2024 (Supervisor: Dr. Prasanta Kumar Ghosh)
  • Data-driven prediction of acoustic fields in a rectangular domain at arbitrary frequencies
  • Dysarthric speech processing and analysis for Parkinson’s Disease identification
• International Institute of Information Technology, Naya Raipur
  • Winter Research Intern, Nov 2023 – Apr 2024 (Supervisor: Dr. Anurag Singh)
  • Multimodal deep learning based IoMT framework for Major Depressive Disorder diagnosis using EEG and Speech Signals
  • Unimodal deep learning approach for objective detection and monitoring of MDD using EEG signals
• Centre for Development of Advanced Computing (CDAC), Pune
  • Machine Learning Intern, Apr 2023 – Oct 2023 (Supervisor: Dr. Anil Kumar Gupta)
  • EEG-based early detection of Parkinson’s Disease using advanced signal decomposition and deep learning
  • Age- and gender-informed deep learning framework for Alzheimer’s disease detection from T1-weighted MRI
  • Multimodal deep learning models for wearable physiological signal analysis in digital health
• University of Calcutta, Kolkata
  • Undergraduate Research Assistant, Oct 2022 – Apr 2025 (Supervisor: Dr. Anisha Halder Roy)
  • Multimodal deep learning using EEG and sEMG for Lower Back Pain assessment
  • Deep learning-based analysis of brain activity associated with Basic Taste perception
  • B.Tech Thesis: Fuzzy Relation induced Causal Brain Connectivity Network decoding using a metaheuristically optimized Hybrid Graph Convolution Network

Technical Skills

• Machine Learning: Supervised/Unsupervised/Self-supervised Learning, Generative Modeling, Continual Learning, Domain Adaptation, Transfer Learning, Computer Vision, Time-series Forecasting
• Deep Learning: Vision-Language Models, Diffusion Models, GANs, VAEs, State-Space Models, Graph Neural Networks, Transformers
• Large Language Models: Pre-training, Fine-tuning, RAG, Agentic AI, LLM Agents, Tool Calling, Function Calling, Multi-Agent Systems, LLM Evaluation and Benchmarking
• Agentic AI & Orchestration: LangGraph, CrewAI, Claude Agent SDK, Google Agent Development Kit (ADK), DSPy, Agent Workflows, Multi-Agent Orchestration
• RAG & Knowledge Systems: Hybrid RAG, Agentic RAG, Retrieval Pipelines, Vector Databases, Chroma
• Frameworks & Libraries: PyTorch, TensorFlow, Keras, vLLM, LangChain, NiBabel, OpenCV, Sci-Kit Learn, Pillow, Flask
• Programming: Python, Java, C, Javascript, MATLAB
• Software & Tools: Freesurfer, Nilearn, FSL, SPM, AFNI, CATIA, Unity, Anaconda, EEGLab, Git
• Web Technologies: HTML/CSS, Django, React

Awards & Honours

• Awarded Taiwan Ministry of Education fellowship under Taiwan Experience Education Program 2026
• Recipient of INSA-IASc-NASI Summer Research Fellowship 2024
• Awarded fellowship under Satyendra Nath Bose Summer Research Internship 2024 by NIT Silchar
• Won the 3rd Runners Up in TELECAST 2024 organized by University of Calcutta, Kolkata in collaboration with CTiF (Denmark), India
• Awarded the Outstanding Volunteer 2023-24 by IEEE Calcutta University Student Branch
• Received the Best Paper Award at IEEE ICCCCM 2024 and IEEE IACIS 2024
• Won the 1st Prize in COGNITECH 2023, organized by the AI & Robotics Club in collaboration with the IEEE Calcutta University Student Branch
• Won the 1st Prize in Research Work Presentation 2023 organized by IEEE Photonics Society Kolkata Chapter, IEEE APS Kolkata Chapter & IEEE Calcutta University Student Branch

Reviewer Activities

• Journals: Artificial Intelligence in Medicine, Biomedical Signal Processing & Control, IEEE Sensors Letters, Measurement, Computers in Biology and Medicine, Food Chemistry, Biological Psychology, IEEE Access, Scientific Reports
• International Conferences: IEEE ACDSA’26, IEEE ICECCME’26, IEEE ECCE’25, IEEE CVIP’24, IEEE CONECCT’24, IEEE CVMI’24

Position of Responsibility

• Secretary, IEEE Calcutta University Student Branch (CUSB), Nov 2023 – Apr 2025
• President, AI & Robotics Club, IEEE CUSB, Nov 2023 – Apr 2025
• Founding Secretary, AI & Robotics Club, IEEE CUSB, May 2023 – Oct 2023
• Media Coordinator, Hult Prize, University of Calcutta Chapter ’23, Sep 2022 – Jan 2023
• Outreach Coordinator, Hult Prize, University of Calcutta Chapter ’22, Jan 2022 – Mar 2022