Chinmay MittalChinmay Mittal

Intro

A quick look at my journey

Open to opportunities

Chinmay Mittal

Software Engineer

B.E. Computer Engineering · Thapar Institute

I build scalable digital products that turn complex problems into simple, elegant, and impactful user experiences.

View my workContact me
Resume
Chinmay Mittal
Skills

Tools I work with

Languages, frameworks, and platforms I use to ship reliable software.

Python
TypeScript
JavaScript
C++
Java
React
Next.js
Tailwind CSS
Node.js
Python
TypeScript
JavaScript
C++
Java
React
Next.js
Tailwind CSS
Node.js
Express.js
FastAPI
REST APIs
Auth / JWT
PostgreSQL
MongoDB
Snowflake
Valkey
Redis
Express.js
FastAPI
REST APIs
Auth / JWT
PostgreSQL
MongoDB
Snowflake
Valkey
Redis
pgVector
Git
GitLab
Docker
Linux
Postman
Vercel
pgVector
Git
GitLab
Docker
Linux
Postman
Vercel
Experience

Where I've worked

Building products that matter — from enterprise platforms to research-driven systems.

Zscaler

Software Engineering Intern

Zscaler · Mohali, Punjab

Feb 2026 – Present

I'm part of the Product Business Operations team at Zscaler, building an enterprise-grade Quarterly Business Review (QBR) platform from the ground up to streamline the creation and management of executive business review presentations, using Next.js, FastAPI, PostgreSQL, Valkey, and AWS.

  • Architected and developed an enterprise-grade QBR platform
  • Integrated business and operational data from Snowflake and Amazon RDS (PostgreSQL) into scalable dashboards.
  • Built a modular page framework supporting predefined templates and dynamic user-generated content.
Next.jsFastAPIPostgreSQLSnowflakeGitLabValkey
Thapar Institute of Engineering & Technology

ELC Summer Intern

Thapar Institute of Engineering & Technology · Patiala, Punjab

Jun 2024 – Jul 2024

Led the development of a Smart AI-powered IoT Food Spoilage Detection system integrating ML, IoT, and full-stack technologies.

  • Led an 8-member team to develop an AI-powered IoT food spoilage detection system achieving 90% prediction accuracy.
  • Built a real-time data pipeline with anomaly detection and automated alerts using REST APIs.
  • Optimized ML inference by 32% and developed a low-latency React Native dashboard for real-time analytics.
Machine LearningIoTReact NativeREST APIs
Work

Selected projects

Products and experiments I've designed and shipped — from AI tools to full-stack apps.

RAG Bot
Live

RAG Bot

A retrieval-augmented generation chatbot that answers questions from your own knowledge base.

AIRAGFull-Stack
TaskFlow
Live

TaskFlow

A clean, intuitive task management app to plan and track your day.

ReactProductivity
Brainly App
Live

Brainly App

A second-brain app to capture, organize, and revisit your links, notes, and ideas.

ReactTypeScript
Learning Management System

Learning Management System

A collaborative learning platform enabling students to study and work together.

ReactFull-Stack
Food Spoilage Detection

Food Spoilage Detection

An app that detects food spoilage using image classification to reduce waste.

MLReac-Native
Course Selling App

Course Selling App

A robust backend for a course-selling platform with auth, courses, and purchases.

Node.jsExpressMongoDB
Cartoonizing App

Cartoonizing App

Turn ordinary photos into stylized cartoon art with image processing.

PythonOpenCV
Netflix Clone
Live

Netflix Clone

A pixel-faithful Netflix landing page clone built with vanilla web tech.

HTMLCSSJS
Code Catch Game
Live

Code Catch Game

A fun browser game where you catch falling code snippets to score points.

GameJavaScript