About
Full-stack & AI engineer. I've shipped across distributed systems, picked up the internship to see how production really works. Now deep in FOSS, contributing back and building in public.
Work Experience
Roles where I built scalable systems and shipped production features.
PassionBytes
SDE Intern
- Rebuilt a production deduplication microservice from a broken monolith into a scalable, containerized system with a Splink ML pipeline, distributed Spark on Kubernetes, and a Flask + React stack — integrated into the core product by end of internship.
Skills
Education
Academic background and ongoing learning journey.
APSIT
Bachelor of Engineering in Information Technology
Check out my latest work
A curated selection of projects where I built data-driven platforms, GenAI tools, and production-ready systems.
InferX-ML - End-to-End AutoML Platform
2025Built a full-stack no-code AutoML platform where users upload datasets and automatically train, evaluate, and compare 10+ ML algorithms across tabular, time-series, and image data types. Integrated LLMs to auto-analyze datasets, recommend targets, and suggest training strategies. Implemented asynchronous training with Celery + Redis, SHAP-based explainability, and exported structured ZIP artifacts. Delivered a Streamlit prediction UI and containerized the entire platform across 6 services with Docker Compose.
Get in Touch
Want to chat? Just send me an email at bharatgungoman2020@gmail.com and I'll respond whenever I can.