About
As a Computer Science undergraduate, I enjoy building practical applications that solve real problems and are simple for users to interact with. I focus on writing clean, efficient code and continuously improving my problem-solving skills through consistent practice. My interest lies in developing reliable web applications and learning by working on real projects. I’ve solved hundreds of DSA problems on LeetCode. Off the screen, you'll find me playing chess or sketching.
Work Experience
Centre for Smart Grid Technologies (CSGT), VIT Chennai
- •Developed a multi-class brain tumor classification framework for MRI scan analysis using ResNet50, DenseNet121, and EfficientNetB5 architectures.
- •Conducted a 12-model ablation study comparing Squeeze-and-Excitation (SE), CBAM, and Hybrid attention mechanisms, achieving a peak accuracy of 95.00% with the DenseNet121 + SE-Attention configuration.
- •Integrated Explainable AI (XAI) using Grad-CAM visual saliency maps to identify tumor boundaries and validate model decision pathways for clinical faithfulness.
- •Evaluated explanation faithfulness quantitatively using the ROAD (Remove and Debias) metric to ensure alignment with medical diagnostics.
AICTE
- •Planned and developed interactive dashboards processing large datasets, reducing manual reporting effort by ~40% across 3+ business verticals.
- •Built data transformation pipelines using Power Query, improving data consistency and reducing preprocessing errors by ~30%.
- •Utilized DAX functions to create optimized calculated fields, improving report refresh performance by ~25%.
- •Architected a normalized data layer that streamlined data integration across multiple sources, improving analytical accuracy and report maintainability.
- •Reduced dashboard latency by restructuring data retrieval workflows and eliminating unnecessary query executions across reporting pipelines
Skills & Technologies
C
Java
C++
Python
tailwind CSS
React
Javascript
Typescript
Next.js
Node.js
MongoDB
Supabase
Express.js
Postman
git
github
figma
vercel
NumPy
Pandas
TensorFlow
PyTorch
Scikit-Learn
CUDA
Google Colab
FastAPI
OpenCV
claude
huggingfaceCheck out my latest work
I've worked on a variety of projects, from Web Development to Data Science and Machine Learning. Here are a few of my favorites.
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StudyNotion
LiveStudyNotion is a fully functional ed-tech platform built for modern learners and educators. It supports course creation, video content hosting, secure authentication, and integrated payments — providing a seamless end-to-end learning and teaching experience.
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DairyDesk
LiveDairyDesk is a high-performance, offline-first dairy ledger management platform designed for rural milk aggregators in India. It replaces manual, error-prone paper registers with a sub-5-second collection entry workflow, local SQLite storage with bidirectional cloud sync, on-device PDF reports, and robust role-based authentication.
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Medi Connect
LiveMediConnect redefines digital healthcare by bridging the gap between patients and medical professionals through a smart, telemedicine-first approach. With a focus on reducing in-person hospital visits and long waiting lines, it enables remote consultations, appointment bookings, and streamlined in-hospital workflows.
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MetaVote
LiveMetaVote is a blockchain-based voting platform that uses smart contracts and MetaMask integration to enable secure, transparent, and decentralized elections.
GitHub Activity
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I like building things
During my time in university, I participated in 2+ hackathons. These experiences allowed me to collaborate with teams, experiment with new technologies, and build innovative solutions under time constraints.
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Safe Lending App
Chennai, India
Built a Flutter-based Safe Lending application during the FlutterSprint Hackathon by Google Developer Club to digitize informal peer-to-peer lending. The app enables users to record loans, track repayments, and maintain transparent transaction histories, fostering trust and accountability. The project was shortlisted among the Top 10 teams out of 200+ participants. ---> Tools Used: Flutter, Dart, Firebase, Firestore SDK, Android SDK, Android Emulator - H
HackRx 6.0 – Expense & Financial Wellness Dashboard
Bengaluru, India
Designed and built a MERN-based web dashboard during HackRx 6.0 focused on personal expense tracking and financial wellness insights. The platform allowed users to log transactions, categorize expenses, visualize spending patterns, and receive basic budgeting insights, simulating real-world consumer finance use cases. ---> Tools Used: MongoDB, Express.js, React.js, Node.js
Some of my Certifications & Achievements
Here are some of the certifications and Achievements I’ve earned from various platforms, showcasing my dedication to continuous learning and growth in tech.
Get in Touch
Want to chat? Just shoot me a dm with a direct question on LinkedIn and I'll respond whenever I can.