Second-year CS student at VIT Chennai turning data and ideas into real products. I ship things that actually work.
Started with C and C++ — loops, memory, logic. Then Python. Then the realisation that code could do something deeply interesting: learn. That curiosity turned into a career path.
I dove into AI and Machine Learning and haven't looked back. I've cleaned datasets at scale, built ML models, explored NLP and OCR, and published documented analyses. I also work as a freelance web developer — building responsive, performant websites for real clients.
But theory isn't enough. I built MedVigilant — an AI medical safety assistant live on Streamlit — and a full-stack gym management system deployed commercially. Real users. Real data. I'm also a member of the Microsoft Innovation Club at VIT.
Every project I build is meant to work in the real world.
Won the national Birdscale hackathon against 100+ teams across India. A full-stack AI/ML mobile platform for land health scoring — integrating Sentinel-2 NDVI satellite data, GIS metrics, and multiple external soil/terrain APIs into composite validation pipelines. Built the frontend data visualiser and map overlay components.
In-depth EDA and feature engineering on a large meteorological dataset. Applied multiple ML algorithms achieving 92% accuracy. Model serialised with Pickle and deployed as a live web app on AWS Elastic Beanstalk enabling real-time fire-risk predictions from user input.
Full-stack gym management platform in live commercial production serving 800+ members. Designed and implemented the complete UI/UX and backend: member management, billing, integrated payment system, and full admin dashboard.
Healthcare app on Streamlit that maintains a dynamic medical cabinet, auto-flags conflicting medication combinations by cross-referencing active ingredients, and integrates a Hugging Face OCR model for medicine identification and image-based disease prediction.
Deep-dive exploratory data analysis on the Vinho Verde Wine dataset. Documented methodology, visualisations, and statistical findings — published as a live interactive report.
"I'm in my third year — this is the phase of deliberate skill stacking."
Whether it's a collaboration, internship, or a conversation about ML/AI engineering — I build fast and I think carefully. Let's make something real.
Opens your email client · shuklaujjwal.work@gmail.com