---
title: "Chinmay Mittal - Software Engineer Intern in Patiala | Tal"
description: "Meet Chinmay Mittal, SDE Intern @ Zscaler | Computer Engineer | Full-Stack & Problem Solving Enthusiast based in Patiala. AI stack includes anthropic apis, claude code, and claude. Explore public work links including github, leetcode, and chinmaymittal.dev."
image: "https://tal.club/meet/chinmay-mittal-1/share-image"
---

# Chinmay Mittal on Tal

## Headline

SDE Intern @ Zscaler \| Computer Engineer \| Full\-Stack & Problem Solving Enthusiast

## About

I am a final\-year B\.E\. student at Thapar Institute of Engineering & Technology, passionate about building scalable, reliable, and user\-centric applications\. My journey blends strong problem\-solving skills hands\-on experience in full\-stack development, distributed systems, and AI\-driven solutions\. With expertise in Java, Python, TypeScript, Node\.js, Prisma, React, and distributed systems, I enjoy taking complex problems and turning them into impactful, real\-world solutions\. I am eager to contribute as a Software Development Engineer by driving innovation and building applications that make a difference\.

## Location

Patiala

## AI stack

anthropic apis

claude code

claude

cursor

langgraph

PydanticAI

## Work experience

Software Engineer Intern at Zscaler, Feb 2026 \- Aug 2026 · 7 mos, Mohali, • Designed and developed an enterprise\-grade Quarterly Business Review \(QBR\) platform from scratch\. • Architected and implemented predefined pages using Next\.js and FastAPI for seamless data visualization\. • Integrated data retrieval workflows from Snowflake and RDS/PostgreSQL, enhancing data management\. • Engineered a modular architecture to support both predefined and user\-generated pages, improving extensibility\.

ELC Summer Intern at Thapar Institute of Engineering & Technology, Jun 2025 \- Jul 2025 · 2 mos, • Led the development of a real\-time ML\-based system predicting food spoilage with 90% accuracy\. • Integrated advanced machine learning models \(EffNet, ResNet\) for real\-time predictions every 15 seconds\. • Built a responsive dashboard for live monitoring, featuring alert notifications and visual analytics\. • Simulated hardware integration to ingest sensor data in real\-time, enhancing system reliability\.

## Education

Bachelor of Engineering \- BE, Computer Engineering, Thapar Institute of Engineering & Technology

## Public links

- github: https://github\.com/chinmay97531
- leetcode: https://leetcode\.com/chinmay9753
- chinmaymittal\.dev: https://www\.chinmaymittal\.dev/

[View the original profile](https://tal.club/meet/chinmay-mittal-1)

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