CSE undergrad at PES University, Bengaluru — curious about the math behind intelligent systems and always looking to build something meaningful.

I'm a 3rd-year Computer Science student passionate about AI, ML, and understanding how LLMs work under the hood. I enjoy bridging theoretical concepts with real-world applications — whether that's building RAG pipelines, full-stack web apps, or low-level systems in C.

Languages

Web Development

Databases & AI/ML

Core CS

Python Flask LangChain ChromaDB JavaScript OpenAI API

An AI-powered compliance assistant built on Retrieval-Augmented Generation (RAG) to audit privacy policies against GDPR, DPDP, and IT Act regulations.

• 🔗 Designed a vector retrieval pipeline for legal Q&A grounded in source documents
• 🌐 Deployed a Flask REST API backend + JavaScript frontend
• 📄 End-to-end support: PDF upload → chunking → embedding → querying

A spam classifier built on Latent Semantic Analysis (LSA) — decomposes a TF-IDF matrix via Truncated SVD, projects messages into latent space, and classifies using cosine similarity to class centroids.

• 📐 Applied rank reduction (k=100) to filter noise and capture latent semantic structure
• ⚙️ Fixed 3 core bugs: added 80/20 stratified split, replaced 1-NN with centroid classifier, added full evaluation
• 🎯 Tunable decision threshold for precision vs. recall tradeoff on unseen test data

MongoDB Express React Node.js

An interactive full-stack web app to measure typing speed and accuracy in real time.

• ⚡ Real-time scoring logic in JavaScript
• 📱 Responsive, cross-device compatible UI

• 🎨 Core Member, Pixelloid — College Media Club, PES University (2024 – Present)

When I'm not debugging or reading papers, you'll find me:

📸 Photography  |  🎨 Art  |  Design

"Curious about the math behind intelligent systems."