AI/ML Engineer · Backend Developer

Neeraj Chormale

I build the part of AI that has to actually ship — agents, retrieval pipelines, and the infrastructure underneath them.

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About

I care about what happens after the demo.

I'm a final-year CSE student and AI/ML engineer based in Pune, working mostly in Python and FastAPI. I build agents and retrieval pipelines on Neo4j knowledge graphs and Milvus vector search, with LangGraph holding the orchestration together.

What I enjoy is the unglamorous infrastructure — the part that turns a slick demo into something grounded, reproducible, and ready to put in front of real users.

Neeraj Chormale presenting his Smart Glasses project

Experience

Where I've worked.

Jan 2026 — Jun 2026 Surat, India

Python AI/ML Intern

Toshal Infotech

  • Architected a Neo4j knowledge graph for multi-hop reasoning a flat vector store can't do, structuring AI concepts and their relationships.
  • Built the Milvus RAG layer that keeps answers grounded in real source material and cuts hallucinations on out-of-distribution questions.
  • Shipping Usebox — an AI tutor that teaches business users AI concepts through conversation, then auto-generates hands-on labs at their level.

Python · FastAPI · Neo4j · Milvus · LangGraph · Crawl4AI

May 2025 — Aug 2025 Pune, India

AI Intern

iLink Digital

  • Built an Intern Companion Agent in Copilot Studio and an attendance portal in Power Apps, then wired the two into a single workflow for the intern programme.
  • Provided UI design support across the team's Power Apps projects for cleaner, more usable interfaces.

Copilot Studio · Power Apps · Python · Git

Jun 2024 — Aug 2024 Pune, India

Web Developer Intern

Agarwal Creations

  • Rebuilt the company's WordPress storefront end to end — cart, wishlist, and inventory across multiple extensions.
  • Laid the SEO groundwork that grew organic traffic from ~130 to 2,500 visitors a month over a single summer.

WordPress · HTML · CSS · Bootstrap · SEO

Selected work

Things I've built.

Data Center Cooling Optimization

A reinforcement-learning agent that learns continuous cooling control for a multi-zone data centre — holding every zone in bounds while cutting power. A custom Gymnasium environment models the thermal dynamics; a Soft Actor-Critic agent learns the policy.

  • Python
  • Gymnasium
  • Stable-Baselines3
  • SAC

GymBuddy Agent

A graph-backed fitness agent that reasons over exercises and routines to coach you through a session. It walks an exercise knowledge graph in Cypher to plan and adapt workouts in conversation — deployed and live on Vercel.

  • Neo4j
  • Cypher
  • AI Agent
  • Vercel

IronLog

An offline-first PWA for logging workouts and tracking splits — installable, mobile-first, and works with no signal in the gym. Persistent local storage with sync, plus a clean UI for managing exercises, sets, reps, and rest.

  • React
  • FastAPI
  • Python
  • PWA

ReWatch

A content-based recommender for wristwatches that matches taste from both structured fields and free text. Feature engineering with one-hot encoding, scaling, and TF-IDF; cosine similarity surfaces the closest matches.

  • scikit-learn
  • pandas
  • NumPy

More on GitHub ↗

Toolkit

What I work with.

Languages

  • Python
  • JavaScript
  • SQL
  • HTML
  • CSS

Frameworks & Libraries

  • FastAPI
  • Flask
  • LangGraph
  • PyTorch
  • Pandas

Data & Infrastructure

  • Neo4j
  • Milvus
  • PostgreSQL
  • Docker
  • AWS
  • MLflow
  • Git
  • Linux

Background

Education & credentials.

Education

  • B.Tech, Computer Science & Engineering 7.89 CGPA
    DY Patil International University · 2022–2026
  • Junior College (Science) 52.2%
    Nowrosjee Wadia College · 2020–2022
  • High School 82.2%
    SNBP International School · 2020

Certifications

Contact

Let's build something.

Open to AI/ML and backend roles — and to building something interesting together.