AI & Full-Stack Engineer
I take products from an empty repo to production — prototyping solo, then scaling with a team, with testing, data integrity and deployment rigour built in from the first commit rather than bolted on later.
Each one is written up properly — the problem, what I built, and what it changed.
One product input triggers autonomous supplier research, tariff compliance classification and quotation outreach — with a human approving anything that reaches a real supplier.
Hired as the first engineer to build evolvue.ai for one of India’s largest AI and data science education networks — and to keep shipping while it grew.
A booking and payments backend for a Melbourne firm, taken from local development to a live domain inside a three-month engagement.
An end-to-end serving application that let clinicians run inference, flag edge cases and re-annotate data — closing the loop between model output and model improvement.
Streaming Mastodon and Bluesky data through serverless functions and local LLMs into live Kibana dashboards, on Kubernetes across Melbourne Research Cloud.
Team-built learning platform with a conversational AI chatbot for real-time code assistance. Shipped the MVP within strict deadlines.
Monolithic Vue/Flask app with Redis caching and Celery background jobs, deployed on EC2 behind Nginx and tested against concurrent booking races.
End-to-end ML pipeline: cleaning, missing-value handling, outlier detection and feature engineering, then Linear Regression, Random Forest and XGBoost compared on strict metrics.
Open to part-time roles, internships and freelance briefs.
Up to 24 hours a week alongside my Master of Data Science. I have shipped production systems as a founding engineer, so I can own a slice of your product end to end rather than needing it broken into supervised tickets.
Available full-time for the November 2026 – February 2027 window. I arrive with four years of shipping real software, an AWS certification and a research engineering background, not just coursework.
Fixed-scope projects taken from brief to a live URL. Recent work: an agentic procurement system for a US client, and a booking and payments backend for a Melbourne firm — both delivered inside three months.
I am currently completing a Master of Data Science at the University of Melbourne, following a BS in Data Science from IIT Madras. Alongside my studies I deliver agentic AI and full-stack work for Australian and US clients.
Before Melbourne I spent a year as the founding engineer at an AI education startup, owning product, backend, frontend and infrastructure end to end. That is where I learnt the thing I care most about now: shipping fast and shipping reliably are not opposites, but you only get both if testing, data integrity and deployment are in from the first commit.
Alabama, United States (Remote)
Built an agentic procurement intelligence system on LangGraph that turns a single product input into end-to-end supplier research, compliance classification and quotation outreach.
Case studyMelbourne, Australia
Delivered the booking, payments and calendar backend behind thesolutionistagenda.com, then deployed and configured the production stack on a Hostinger VM.
Case studyBengaluru, India
Hired as founding engineer to build evolvue.ai for Krish Naik’s AI education network. Owned product, backend, frontend and infrastructure; prototypes that removed manual operations helped double company revenue.
Case studyChennai, India (Hybrid)
Guided students through the full software lifecycle in Modern Application Development and ran viva evaluations for CS2003P and CS2006P.
Rupnagar, India
Built the MVP of a clinical deep-learning serving platform solo, then led a remote team of student developers to scale it into a real clinical workflow with PGIMER Chandigarh.
Case studyRupnagar, India
Delivered automated CI/CD pipelines across both AWS and GCP inside a one-month contract, cutting release friction for the engineering team.
Melbourne, Australia
Chennai, India
The highlights are below. Every certification — with credential IDs, coursework, endorsed skills and the roles behind them — is laid out on the credentials page.
One of 70 participants selected from 400+ applicants for Anthropic's APAC Claude Impact Lab
First place: designed, built and pitched a tech solution under competition time limits
Presented research on Big Data Analytics to industry professionals
SVSAE (2026); Ram Shriram Foundation, USA (2024); RCAT, Govt. of Rajasthan (2023); TATA Capital (2023); L&T Merit (2021)
Complete guide to deploying Flask applications on AWS EC2 using Gunicorn and Nginx for production-ready deployment.
Learn how to configure custom domains, set up SSL certificates with Let's Encrypt, and secure your Flask application.
Whether it’s a part-time role, a summer internship, or a project that needs to exist by next quarter — tell me the problem and I’ll tell you honestly whether I’m the right person for it.
Based in Melbourne, Australia · Student Visa (Subclass 500) · Usually replies within a day