Full Stack Developer
MERN + Next.js for fast, type safe web apps. Comfortable from API design to responsive frontends with real UX polish.
- Next.js
- React
- Node
- TypeScript
- MongoDB
Final year CS student at PES University with a deep interest in identity, enterprise software, and building things that scale. Currently engineering surety management software at VeArc Technologies.
Four overlapping disciplines I keep sharpening. Each tile is a real space I work in, not a buzzword list.
MERN + Next.js for fast, type safe web apps. Comfortable from API design to responsive frontends with real UX polish.
Threat mitigation, security assessments, and awareness training. Hands on with network tooling and Python security utilities.
Designing and deploying ML systems, from classical scikit-learn models to deep learning pipelines in TensorFlow and Keras.
Building robust pipelines with Azure Databricks, PySpark, and Power BI. Focused on data quality at scale and distributed processing.
Seven roles across software, data, security, and student leadership, in reverse chronological order.
VeArc TechnologiesCurrent
NTT Data
GTTC
Freelance
Toyota Kirloskar Motors
Volunteering roles and community involvement, in reverse chronological order.
AIESEC
AIESEC
Seven projects spanning AI, ML, full stack, systems, and security. Click any tile to see the source.

Voice assistant built with React, Node.js, and MongoDB, integrating Gemini LLM and Sarvam API to support 10 Indian languages. Sub 500ms response, 95%+ intent accuracy.

Deep learning pipeline in TensorFlow merging ResNet50 for visual features with LSTM for sequence generation. Uses GloVe embeddings, trained on Flickr8k.

A blogging portal where users register to create, edit, and discover posts from other writers.

A TUI text editor for the terminal with syntax highlighting, written in pure C against VT100 and termios.

Full stack Spring Boot + MySQL app for hospital operations, staff scheduling, and real time patient tracking.

A collection of Python utilities for common pentest workflows: recon, packet analysis, and reporting.

ML model that classifies comments across toxicity axes with a Gradio interface for live demos.
Languages, frameworks, and platforms I use day to day. Hover the marquee to pause; hover a chip below for the name.
Drop a line for collaborations, freelance work, or just to say hi. Usually replies within a day.