Work Experience
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IEEE EMBS BHI 2025 Data Competition, Remote
Student Lead — Team Coordination & Administration (2025)
- Served as the student lead for the IEEE EMBS BHI 2025 Data Competition team.
- Handled team registration, administrative coordination, and official communications with organizers.
- Coordinated with Task Leaders across multiple competition tracks to ensure smooth participation.
- Task Leaders remained responsible for technical execution and evaluation of their assigned tasks.
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MIT Lab, SMST, IIT Kharagpur, Kharagpur, India
Research Intern (Jan 2025 – Present)
- Developing deep learning models for Oral Cytology WSI classification to detect Oral Potentially Malignant Disorders (OPMD).
- Working under the supervision of Dr. Subhamoy Mandal and Dr. Shirin Dasgupta.
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SMST, IIT Kharagpur, Kharagpur, India
Teaching Assistant — Introduction to Programming (Jul 2025 – Present)
- Assisting in teaching Python programming to MMST (Medical Science) students.
- Mentoring MBBS doctors in algorithmic thinking and efficient coding practices.
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Ardent Computech Pvt. Ltd., Kolkata, India
Industrial Project Trainee (May 2023 – Jul 2023)
- Developed an end-to-end Machine Learning pipeline for water potability prediction.
- Implemented Random Forest and other classifiers to categorize water as potable/non-potable.
- Enhanced preprocessing and feature engineering to improve model robustness and accuracy.
Certificates
- JTG / IEEE IT Society Summer School — IIT Bombay (Jul 2025)
Covered Deep Learning, Graph Signal Processing, and Wireless Networks with lectures by Mikhail Belkin (UCSD), Siva T. Maguluri (Georgia Tech), and others.
- SysCon Summer School — IIT Bombay (May 2023)
Focused on Quantum Control, Multi-Agent Systems, Reinforcement Learning, and Vibrational Control.
- Machine Learning Fundamentals — Coursera / DeepLearning.AI
Completed specialization covering Supervised and Unsupervised Learning.
- Deep Learning Fundamentals — Coursera / DeepLearning.AI
Completed specialization covering Neural Networks, CNNs, and Optimization.
- Mathematics for Machine Learning Specialization — Coursera / Imperial College London
Completed specialization covering Linear Algebra, Probability and Multivariate Calculus.
Hobbies
- I am an avid follower of scientific visualization and medical documentaries that explore intersections of technology and human health.
- Outside academics, I enjoy watching Anime, Medical Dramas and I also like to travel and connect with nature.
