About
I am an AI and full-stack engineer in Melbourne, currently reading for a Master of Data Science at the University of Melbourne, after a BS in Data Science and Applications from IIT Madras. Alongside my studies I build agentic AI systems and production web applications for clients in Australia and the United States.
Before Melbourne I spent a year as the founding engineer at KRISHAI, building evolvue.ai for Krish Naik, whose AI education network reaches over 1.5 million subscribers. I owned product, backend, frontend and infrastructure end to end, and prototypes that removed manual operations there helped double company revenue. That work is where I settled on 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 place from the first commit.
My interests sit around LLM agents and retrieval systems, the engineering that keeps them honest (grounding, evaluation and human review) and the infrastructure underneath. In 2026 I was one of 70 participants selected from over 400 applicants for Anthropic’s APAC Claude Impact Lab in Melbourne.
I am currently available now: Open to part-time roles, internships and freelance briefs. I hold a Student Visa (Subclass 500) with work authorisation in Australia. The quickest way to reach me is email.
Education
The University of Melbourne
Master of Data Science
Melbourne, Australia, Mar 2026 – Nov 2027 (expected)
Coursework: Statistical Machine Learning, Machine Learning Applications for Health, Cluster and Cloud Computing, Advanced Database Systems, Programming and Software Development, Multivariate Statistics for Data Science, Statistical Modelling for Data Science, Practice of Statistics and Data Science
Indian Institute of Technology, Madras
BS in Data Science and Applications
Chennai, India, Jan 2021 – Dec 2025
Coursework: Deep Learning, Deep Learning Practice, Deep Learning for Computer Vision, AI: Search Methods for Problem Solving, Machine Learning Foundations, Machine Learning Techniques, Machine Learning Practice, Database Management Systems, Modern Application Development 1, Modern Application Development 2, Software Engineering, Software Testing, System Commands, Tools in Data Science, Programming in Python, Programming, Data Structures and Algorithms using Python, Programming Concepts using Java, Programming in C, Computational Thinking, Mathematics for Data Science 1, Mathematics for Data Science 2, Statistics for Data Science 1, Statistics for Data Science 2, Business Analytics, Business Data Management
Experience
AI Engineer, Freelance (current)
Sambac Procurement Intelligence LLC
Alabama, United States (Remote), Jul 2026 – Present
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.
Full-Stack Engineer, Freelance
Atlas Counsel Pty Ltd
Melbourne, Australia, Jun 2026 – Aug 2026
Delivered the booking, payments and calendar backend behind thesolutionistagenda.com, then deployed and configured the production stack on a Hostinger VM.
Founding Full-Stack Engineer
KRISHAI Technologies Private Limited
Bengaluru, India, Feb 2025 – Feb 2026
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.
Teaching Assistant
Indian Institute of Technology, Madras
Chennai, India (Hybrid), Dec 2023 – Aug 2025
Guided students through the full software lifecycle in Modern Application Development and ran viva evaluations for CS2003P and CS2006P.
Full-Stack Research Engineer (Intern)
Indian Institute of Technology Ropar
Rupnagar, India, May 2024 – Jan 2025
Built a desktop platform for deploying the AI in Medicine Group’s deep-learning models into clinical workflows, working with clinicians at the Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh. It runs inference on both 2D and 3D medical images and lets clinicians flag and re-annotate poor outputs for finetuning. I built the initial version solo and now guide the student team developing it; PGIMER Chandigarh has a daily footfall of over ten thousand people. Supervised by Sukrit Gupta, PhD, Assistant Professor in the Department of Biomedical Engineering and the School of Artificial Intelligence and Data Engineering.
DevOps and Deployment Consultant
Biofield Power Private Limited
Rupnagar, India, Oct 2024
Delivered automated CI/CD pipelines across both AWS and GCP inside a one-month contract, cutting release friction for the engineering team.
Projects
Agentic procurement intelligence system
Sambac Procurement Intelligence LLC, United States
One product input triggers autonomous supplier research, tariff compliance classification and quotation outreach on LangGraph. Classification is grounded in official US Trade.gov data, and no email reaches a supplier without operator approval.
LangGraph, Python, Tavily, Serper, Trade.gov API, Jul 2026 – Present
[live]
thesolutionistagenda.com
Atlas Counsel Pty Ltd, Melbourne
Booking, payments and calendar backend taken from brief to a live domain in three months, with bookings and payment confirmation kept in sync so nobody reconciles them by hand.
FastAPI, PostgreSQL, Google Calendar API, Nginx, Uvicorn, Jun 2026 – Aug 2026
[live]
evolvue.ai
KRISHAI Technologies, founding engineer
GenAI education platform built for an audience of over 1.5 million. Owned product, backend, frontend and AWS infrastructure; the prototypes that removed manual operations helped double company revenue.
Python, FastAPI, React.js, LLMs, AWS, PostgreSQL, Feb 2025 – Feb 2026
[live]
Distributed social sentiment analysis
Cluster and Cloud Computing, University of Melbourne
Mastodon and Bluesky streams processed through serverless functions and local LLMs into live Kibana dashboards, on a six-node Kubernetes cluster provisioned across Melbourne Research Cloud.
Kubernetes, Fission, Elasticsearch, Kibana, Gemma 2B, Groq, Mar 2025 – Jun 2025
Clinical deep-learning deployment platform
AI in Medicine Group, IIT Ropar, with PGIMER Chandigarh
Desktop application that puts trained models in front of clinicians: inference on 2D and 3D images (histopathology, FISH, MR and CT), with poor outputs flagged and re-annotated to feed the next round of finetuning. Built solo, then scaled with a team of student developers.
MONAI, nnUNet, UNet, CVAT, 3D Slicer, Python, May 2024 – Jan 2025
GenAI-powered learning management system
Software Engineering project, IIT Madras
Team-built learning platform with a conversational AI chatbot for real-time code assistance, shipped as an MVP within strict deadlines.
Flask, React.js, MongoDB, Ollama, Llama 3.1, Jun 2024 – Aug 2024
[code]
Taxi fare prediction
Machine Learning Practice, IIT Madras
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.
Python, Pandas, Scikit-Learn, XGBoost, Sep 2023 – Dec 2023
[code]
Scalable show ticket booking platform
Modern Application Development, IIT Madras
Monolithic Vue and Flask app with Redis caching and Celery background jobs, deployed on EC2 behind Nginx and tested against concurrent booking races.
Flask, Vue.js, SQLite, Redis, Celery, AWS EC2, May 2023 – Jul 2023
[code]