Open to freelance and collaborations
I build full-stack products and AI systems .
Computer Science Student at VIT Vellore. Third year. I take a product from the requirement through the model, the API, and the deployment.
Products and systems with a real pipeline behind them.
Turns educational PDFs into concept-dependency graphs and a learning roadmap. I own the AI pipeline and the architecture: NLP, retrieval-augmented generation, prerequisite discovery, and quiz generation, wired into a Next.js interface.
Classifies software with a trained model and shows why. SHAP explains each prediction, and a Model Lab turns the result into forensic notes and remediation steps.
1st place · Cybersecurity track · Recursion Edition 2
Groups related alerts, finds the incident that actually matters, draws how the attack connects, and recommends what to do — and what to avoid — while responding.
Recommends tracks from listening sessions and time of day. Built on 9.7 million records, with session features and collaborative filtering.
Shortest-path routing across all five corridors, plus a Single Journey Ticket fare matrix generated from the same station graph. Includes an interactive fare view and CSV export.
Client tools for stock: authentication, roles, inventory tracking, and a Postgres backend, shipped through to deployment.
Newest first. The two internships ran together in summer 2026.
Self-employed · Remote
I take client projects from the first conversation to deployment. That includes inventory and stockroom systems, attendance apps for Android and iOS, business sites, and AI features. 5+ clients, 10+ projects shipped.
IIIT Kottayam · Hybrid
Image denoising with statistical methods and deep learning. I compared classical noise reduction with neural restoration, and worked through preprocessing, unsupervised learning, and how to judge the result.
Chennai Metro Rail Limited · Onsite
Route optimization and Single Journey Ticket fares for all five Chennai Metro corridors. Graph shortest-path logic in Java and Python Flask, then testing and validation.
VIT Vellore · 3rd year, semester 5
Currently enrolled. Coursework sits next to the systems I ship: data, machine learning, and software engineering.
Wins and delivery, separate from job history.
1st
Led the team that built a Security Operations Center. It groups related alerts, finds the incident that actually matters, draws how the attack connects, and recommends what to do — and what to avoid — while responding.
What I use when the work has to ship.
Python, Java, C++, JavaScript, SQL
React, Next.js, Node.js, TypeScript, FastAPI, Flask, REST
PostgreSQL, MySQL, MongoDB, Prisma, Pandas, NumPy, Scikit-Learn, NetworkX
Machine learning, NLP, LLMs, agents, RAG, SHAP
Internships, a build, or a question about the work. I read everything.