Om Badgujar — AI/ML Engineer

ओम — AI

I'm an entry-level AI/ML engineer graduating June 2026 — building intelligent software with Python, LLMs, RAG and Agentic AI. I like models that ship, pipelines that don't lie, and interfaces that stay out of the way.

Currently

Wrapping my B.E. at SPPU · reading papers on agentic retrieval.

Focus

LLM applications, RAG systems, deep learning for text & sequences.

See selected work→Say hello

§ 01 — About

A student
with production
habits.

I came into ML the honest way — Pandas, SQL and Excel first, models second. Six months at CodeSpyder Technologies taught me that the interesting part of deep learning happens before the first epoch: in the data, the joins, the boring cleaning.

These days I spend most of my time on LLM applications — retrieval pipelines, prompt design, and the tooling around agents. I care about accuracy you can trust and latency you can defend.

Off-screen: a coffee, a chessboard, and a running list of papers I haven't finished yet.

§ 02 — Selected work

Projects.

03 / 03

Agentic AI · RAG

Enterprise Knowledge Intelligence Platform→

An Agentic AI knowledge assistant for enterprise document Q&A. A LangGraph intent classifier routes requests between knowledge search, general chat, and tool execution — with Gmail-integrated actions and a full RAG pipeline underneath.

FastAPILangChainLangGraphGroq LLMChromaDBHugging FaceDockerStreamlit

Multi-Agent · LangGraph

Multi-Agent Research Assistant (MARA)→

A multi-agent research platform that automates web research, fact verification, summarization, and report generation. A stateful LangGraph workflow coordinates specialized LLM agents; Tavily fetches the web, Groq writes the report.

FastAPILangGraphLangChainGroq LLMTavily SearchStreamlit

Computer Vision · Group Project

AI Fitness Monitor→

A real-time AI fitness monitoring app built with a team of four. MediaPipe extracts pose landmarks, a classifier scores squat form, and a Flutter client streams frames through a FastAPI backend for live feedback.

PythonFastAPIFlutterMediaPipeOpenCVScikit-learnFirebase

§ 03 — Experience

Where I've worked.

Jul 2025 — Jan 2026

Machine Learning & Data Science Intern

CodeSpyder Technologies Pvt. Ltd — Pune

Developed and deployed ML, Deep Learning, and NLP solutions with Python, Scikit-learn, TensorFlow, Pandas and SQL.
Built AI-powered applications end-to-end: data preprocessing, feature engineering, training, evaluation and inference pipelines.
Implemented RAG pipelines — document processing, embedding generation, vector database integration, and semantic retrieval with LLMs.
Developed and tested RESTful APIs for model inference and integrated them into backend applications, collaborating via Git.

§ 04 — Education & Certs