Final-Year B.Tech, Mathematics & Computing — NIT Mizoram | Exchange Student, DSAI @ IIT Madras
CGPA: 9.70 / 10.0
I'm a final-year B.Tech Mathematics & Computing student at NIT Mizoram, currently completing my final year at IIT Madras under the IIT Madras–NIT Mizoram Student Exchange Programme, researching in the Department of Data Science and Artificial Intelligence (DSAI).
My research interests lie at the intersection of Artificial Intelligence, Scientific Computing, Machine Learning, Deep Learning, Computer Vision, Data Science, and Mathematics. I enjoy exploring how mathematical principles and AI can be combined to solve challenging real-world problems, particularly in healthcare and scientific applications.
- Current Research: AI-based Transcranial Focused Ultrasound (DeepTFUS), SurgSim
- Exchange Student, DSAI, IIT Madras (July 2026 – May 2027)
- B.Tech Mathematics & Computing, NIT Mizoram (2023 – 2027)
- Paper accepted at ETTIS-2026 (Springer LNNS) on PCG-based heart sound classification
- Department Topper — Rank 1 since Semester 1, highest SGPA (9.91) institute-wide in Semester 2
- Languages: English (Fluent), Hindi (Native)
Languages
Machine Learning, Deep Learning & Computer Vision
Scientific Computing & Data Analysis
Data Visualization & Databases
Tools & Platforms
| Role | Institution | Period | Focus |
|---|---|---|---|
| Research Intern | Dept. of Data Science & AI (DSAI), IIT Madras | May 2026 – Present | DeepTFUS (AI-based Transcranial Focused Ultrasound) • Physics-Informed ML • Helmholtz-equation modelling • Scientific Computing (MATLAB, PyTorch, k-Wave, HelmNet) — under Prof. Vinkle Kumar Srivastav |
| Summer Research Intern | Dept. of Mathematics, IIT Madras | May 2025 – Jul 2025 | Statistical Learning: regression, classification, tree-based & probabilistic models • Feature engineering, hyperparameter tuning, rigorous model validation — under Prof. Neelesh Shankar Upadhye |
|
Ongoing — DSAI, IIT Madras
Accepted at ETTIS-2026 (Springer LNNS)
|
Additional Project — Statistical Learning (IIT Madras Internship Repository)
Statistical-Learning — May 2025 – Jul 2025
- Built end-to-end ML pipelines: data cleaning, feature engineering, training, and validation
- Implemented and compared linear/logistic baselines, Random Forest, XGBoost, and Bayesian models (PyMC3) for uncertainty quantification
- Rigorous cross-validation with fully reproducible Jupyter notebooks and a complete internship report
- "Multi-class Classification of Heart Sound Using PCG Recordings" — Accepted at ETTIS-2026; publication pending with Springer LNNS
| Achievement | Detail | Year |
|---|---|---|
| Department Topper | Rank 1 in Mathematics & Computing since Semester 1; highest SGPA (9.91) institute-wide in Semester 2 | 2023 – Present |
- Summer Research Internship — Statistical Learning & Implementation, Dept. of Mathematics, IIT Madras (2 months, May–Jul 2025)
- Professional Learning Workshop on Enhancing Pedagogical Practices in Math Teaching and Learning — Dr. Padmanabhan Seshaiyer (George Mason University, USA), hosted by Dept. of Mathematics, IIT Madras
- Internal Smart India Hackathon (SIH 2024) Nomination Certificate — Team "Chinmaya Society," NIT Mizoram
- Workshop cum Bootcamp on Drone Technology and Related Applications — NIT Mizoram, NIT Silchar, Jet Aerospace & TIH-IIT Delhi (MeitY, Govt. of India funded)
- Lecture Series: A Mathematical Introduction to Finite Element Methods — Prof. Raghavendra V. (Retd., IIT Kanpur), NIT Mizoram
- Coordinator — Mathematics and Computing Society (MACS), NIT Mizoram (Aug 2025 – Present)
- President — Coding and AI Club, NIT Mizoram (Mar 2025 – May 2026)
- Assistant Placement Coordinator — Training & Placement Cell, NIT Mizoram (May 2025 – May 2026)
- Core Member — Arthkriti, Business & Finance Club, NIT Mizoram (Mar 2025 – May 2026)
- Class Representative — NIT Mizoram
Open to collaborations in Computer Vision, Scientific Computing, and AI for Healthcare!