---
title: "Chinmay D. - Full Stack Gen Ai Developer in Pune Division | Tal"
description: "Meet Chinmay D., Full Stack Gen AI Dev Intern @Neuralarc | Artificial Intelligence (AI) based in Pune Division. AI stack includes antigravity, claude code, and claude. Explore public work links including github and leetcode."
image: "https://tal.club/meet/chinmay-10/share-image"
---

# Chinmay D\. on Tal

## Headline

Full Stack Gen AI Dev Intern @Neuralarc \| Artificial Intelligence \(AI\)

## Location

Pune Division

## AI stack

antigravity

claude code

claude

hugging face

kiro

langchain

langfuse

langgraph

Tavily

## Work experience

Full Stack Gen Ai Developer at Neural Arc Inc, Jun 2026 \- Present · 2 mos, Pune City

Full Stack Engineer at Neural Arc, Jun 2026 \- Present · 2 mos

Artificial Intelligence Intern at Gradence Global Ltd, Nov 2025 \- May 2026 · 7 mos, Coventry, As an AI/ML Intern at Gradence Global, I work across machine learning, backend development, automation, and end\-to\-end system building—from data processing to deployment\. ⸻ 🔹 AI & Machine Learning • Building and training ML models \(Regression, Classification, NLP, LLM workflows\) • Feature engineering, model evaluation, and optimization • Using PyTorch, Scikit\-learn, Hugging Face Transformers • Creating inference pipelines and integrating models into backend APIs ⸻ 🔹 Data Engineering & Analysis • Data cleaning, preprocessing, and visualization • Using Pandas, NumPy, Matplotlib, Seaborn • Preparing structured & unstructured datasets for ML tasks ⸻ 🔹 Backend Development • Building REST APIs using FastAPI and Flask • Integrating ML models into production\-ready API endpoints • Implementing routing, authentication, and database operations • Working with PostgreSQL and MongoDB ⸻ 🔹 Automation • Writing Python scripts to automate workflows • Web automation & scraping using Playwright and BeautifulSoup • Automating data extraction and monitoring tasks ⸻ 🔹 Azure Cloud & Deployment • Deploying ML models and backend APIs using Azure ML & Azure DevOps • Basic monitoring using Azure Monitor ⸻ Overall Focus ➡️ Developing ML models ➡️ Data analysis & preprocessing ➡️ Backend development \(FastAPI & Flask\) ➡️ Automation workflows ➡️ Azure\-based deployment of ML models & APIs

Data Science Intern at Anyatam Adhyayan Education Service Pvt Ltd, Jan 2025 \- Apr 2025 · 4 mos, Pune, Maharashtra, India, I Performed EDA and data preprocessing on healthcare datasets using Python\. • Built and evaluated ML models \(Regression\) for disease prediction\. • Used metrics like accuracy, precision, and used many techniques for model evaluation\. • Integrated models into a Flask app \(Healthify\) and deployed it for real\-time use\.

## Education

BE, Computer Engineering, Sinhgad Institute of Technology & Science

BE, Computer Engineering, Savitribai Phule Pune University

## Public links

- github: https://github\.com/psyphon1
- leetcode: https://leetcode\.com/psyphon1

[View the original profile](https://tal.club/meet/chinmay-10)

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