ML Engineer & Data Scientist — building intelligent systems that turn complex data into real-world impact.
I'm a passionate ML Engineer pursuing a BCA at Chandigarh University alongside a B.S. in Data Science & Applications from IIT Madras — a dual pursuit that shapes how I think about both engineering and mathematics.
My focus is on developing production-ready machine learning systems — from data pipelines to deployment — using Python, TensorFlow, PyTorch, and modern MLOps tooling.
Whether building predictive models, experimenting with LLMs, or crafting RAG systems, I'm driven by one goal: making AI genuinely useful.
AI-powered plant image super-resolution system built using SRGAN-style deep learning architecture for enhancing low-resolution leaf images into high-quality outputs.
An AI-powered full-stack web app that analyzes resumes against job descriptions using LLM-based semantic analysis to generate ATS-focused feedback and skill gap insights.
A full-stack ML application that predicts housing prices using linear regression, served via a Flask REST API and deployed on Render with a clean web interface.
An NLP pipeline that classifies text sentiment using NLTK and natural language processing techniques.
Model trained on Amazon review data to generate coherent sequential text using GRU architecture.
A collection of focused machine learning models — each one built to explore a concept, test an algorithm, or solve a small real-world problem. Browse them all on GitHub.
Open to ML engineering roles, research collaborations, and interesting projects.