Education
Johns Hopkins University
M.S.E. in Computer Science, Expected Dec 2025
Vellore Institute of Technology
B.Tech in CSE, Aug 2024, GPA: 8.9/10
Technical Skills
- Languages: Python, C/C++, R, LaTeX, JavaScript, HTML, CSS, Java
- Operating Systems: Debian, Arch Linux, Windows
- Libraries: TensorFlow, PyTorch, Keras, Scikit-Learn, etc.
- Databases: MySQL, MongoDB, Redis, SQLite
- Tools: GitHub, Docker, AWS, Azure, Hadoop/Spark
- Core: ML, CV, LLMs, Generative AI, Big Data
Work Experience
ML Research Intern
NCYU Taiwan | Sep 2023 – Mar 2024
- PINNs via NVIDIA Modulus, DeepXDE, PyTorch, TensorFlow.
- Simulated heat flow in PDMS structures using Navier-Stokes equations.
UG Research Assistant
VIT India | Apr 2023 – Mar 2024
- U-Net for histology images, hybrid CNNs for dermatology.
- 25% gain via augmentation, ensemble methods.
Publications
- AI in Sports Medicine – IGI Global
- Cloud Security with ML – IEEE ASSIC
- Skin Image Classification – PeerJ, IEEE
Projects
- MedQA using Sentence-BERT, 19% better than BM25
- Thermostable Enzymes – CNNs on 240K enzyme records
- Bird Vocalizations – VGG19 + MFCCs, 94.7% accuracy
- Viral Pneumonia Web App – Flask, MongoDB, CT scans
Certifications
- AI Programming (Udacity), Deep Learning (IBM), CS50 AI (HarvardX)