About Me
A researcher who turns complex problems into elegant AI solutions.

I'm a PhD candidate in Computer Science at BITS Pilani, Goa, specializing in deep learning for NLP and computer vision.
I'm currently a Research Fellow at BITS Pilani, K K Birla Goa Campus, where I work on industry-sponsored ML systems for automotive lifecycle and safety.
My work spans NLP & LLMs, biomedical signal processing, and computer vision.
I've interned at IISER Kolkata, Defence Institute of Advanced Technology (DIAT-DRDO), and IIT Bombay, and co-founded CodePVG, a campus tech community that brought together 1000+ students.
Education
Academic foundations in computer science and engineering
PhD in Computer Science (CSIS)
BITS Pilani, K K Birla Goa Campus
- •Working on an industry-sponsored ML project for end-to-end automotive lifecycle and safety systems.
- •Developing and evaluating ML models and pipelines for real-world, large-scale data.
B.E. in Electronics & Telecommunication
SPPU, Pune
- •Core coursework in electronics, signal processing, embedded systems, and computing.
- •Active in campus tech communities and collaborative research projects.
Experience
Research and engineering roles at premier institutions
Research Fellow
BITS Pilani, K K Birla Goa Campus
- ▹Working on an industry-sponsored ML project for end-to-end automotive lifecycle and safety systems.
- ▹Developing and evaluating ML models and pipelines for real-world, large-scale data.
Research Intern
Indian Institute of Education Science and Research (IISER), Kolkata
- ▹Developed SportsOpi, a 43K-comment dataset on six major sports controversies, using LLaMA-3.1's multi-phase annotation and human verification (κ > 0.8) for reliable 4-way stance labels.
- ▹Fine-tuned LLaMA-3.1-8b and DeepSeek-8b, raising stance-detection F1 from ~0.35 to ~0.75 and performed attention-based probing to interpret model gains.
Research Intern
Defence Institute of Advanced Technology, Defence Research and Development Organisation (DIAT, DRDO)
- ▹Developed a novel EEG signal classification method for upper limb movement tasks, achieving 97.50% micro-averaged accuracy and 99.17% mean accuracy, outperforming recent approaches.
- ▹Extracted and evaluated time-domain statistical and band-power features from pre-processed EEG signals using multiple machine learning classifiers, including KNN, SVM, and an ensemble classifier, improving motor imagery task classification accuracy by 10% with MATLAB and Python.
Project Intern
Indian Institute of Technology (IIT), Bombay
- ▹Project Title: Brain Tumor Detection. Implemented a Convolutional Neural Network (CNN) for Brain Tumor Detection which achieved a robust testing accuracy of 95%, demonstrating superior generalization ability in identifying brain tumors from MRI images.
- ▹Utilized a pre-trained ResNet-50 model for brain tumor detection that achieved a high training accuracy of 99.50%.
- ▹Conducted a comprehensive comparative analysis between CNN and ResNet-50 models.
Projects
Research work and engineering projects that push boundaries
SportsOpi Dataset & Stance Detection
EEG Signal Classification
AI-Powered Spirometer
Brain Tumor Detection
EMG-Based Robotics Claw (Prosthetics)
Skills
Technical proficiency across ML, development, and cloud
Core Competencies
Leadership & Volunteering
Building communities and driving impact beyond research
General Secretary
TESA (E&TC Student's Association), PVGCOET
Aug 2023 - Aug 2024
- ▹Led flagship TECHCRAFT national tech event (20+ yr legacy)
- ▹Brought major sponsorships from industry
- ▹Organized seminars with guests from top institutions
Co-founder & Networking Head
CodePVG
Jan 2022 - Apr 2025
- ▹Produced podcasts with IIT Bombay alumni, Goldman Sachs NY VP, and author of CS books
- ▹Hosted sessions on Python, Tinkercad, LinkedIn
- ▹Built campus peer learning ecosystem for 1000+ students
Event Organizer
Google Developer Student Clubs (GDSC)
Aug 2022 - Aug 2023
- ▹Organized React/GitHub workshops
- ▹Co-managed Annual Ideathon (multi-college)
- ▹Logistics and permissions for large-scale events
Get in Touch
Let's collaborate on impactful research and projects