Hi, I'm Bharatkumar
Full-Stack Developer & AI Engineer.
BG

About

Curious engineer who loves solving challenging problems from first principles. Passionate about building products from scratch, exploring new technologies, and continuously learning through hands-on engineering.

Experience

Work Experience

Roles where I built scalable systems and shipped production features.

PassionBytes

SDE Intern

Dec 2025 - Feb 2026
Splink
Apache Spark
Kubernetes
Flask
React
Docker
PostgreSQL
MongoDB
MinIO
  • Refactored a production data deduplication microservice into a modular, distributed architecture, restoring probabilistic record linkage, enabling Apache Spark-based distributed processing, and integrating asynchronous job orchestration for enterprise-scale data workflows.

Skills

Python
TypeScript
JavaScript
Flask
FastAPI
LangChain
Next.js
React.js
Express.js
NumPy
Pandas
Matplotlib
Seaborn
Apache Spark
Trino
Splink
RAG Pipelines
LLM Integrations
PostgreSQL
MongoDB
Redis
MinIO
Pinecone
Docker
Kubernetes
AWS
Git
Education

Education

Academic background and ongoing learning journey.

APSIT

Bachelor of Engineering in Information Technology

Sept 2023 - May 2027
My Projects

Check out my latest work

A curated selection of projects where I built data-driven platforms, GenAI tools, and production-ready systems.

EntityCopilot - Enterprise Entity Resolution & Master Data Management

EntityCopilot - Enterprise Entity Resolution & Master Data Management

2026

AI-native enterprise platform for deduplication and record linkage that transforms fragmented datasets into trusted, queryable Golden Records using agentic AI planning and explainable probabilistic matching.

Python
React
Flask
DuckDB
Pydantic
Splink
PostgreSQL
Qdrant
Docker
InferX-ML - End-to-End AutoML Platform

InferX-ML - End-to-End AutoML Platform

2026

Built 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.

Python
React
Flask
Celery
Redis
PostgreSQL
MinIO
Docker
Research Paper Generator & AI Detection System

Research Paper Generator & AI Detection System

2025

Built an AI-powered research platform that generates papers from user topics LLM and verifies uploaded PDF/LaTeX documents for originality with explainable detection scores.

Python
FastAPI
LangChain
Gemini
Groq
Contact

Get in Touch

Want to chat? Just send me an email at bharatgungoman2020@gmail.com and I'll respond whenever I can.