Chinmay MittalChinmay Mittal

A quick look at my journey

Available for opportunities

Software Engineer

Building fast, scalable products that solve real problems.

Who I am

About me

A bit about the person behind the projects.

I'm Chinmay Mittal— a software engineer and full-stack developer who loves building things that feel fast, clear, and useful.

I'm studying Computer Engineering at Thapar Institute of Engineering & Technology, where I keep sharpening how I think about systems, products, and craft. Outside of classes, I'm usually sketching ideas, shipping side projects, or refining something until it feels right.

I care about clean architecture, performance, and user experience — and I enjoy turning messy problems into software people actually want to use. Curious by nature, I like learning across the stack and exploring where web, AI, and real-world systems meet.

Where I've worked

Experience

Real-world impact I've delivered as an engineer, from enterprise platforms to research-driven IoT systems.

Zscaler
Feb 2026 – Aug 2026

Software Engineering Intern

Mohali, Punjab

Built an enterprise-grade Quarterly Business Review (QBR) platform with the Product Business Operations team at Zscaler, streamlining 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
Jun 2025 – Jul 2025

ELC Summer Intern

Patiala, Punjab

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
What I work with

Skills & Technologies

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
GitHub
GitLab
Docker
AWS
Linux
Postman
Vercel
pgVector
Git
GitHub
GitLab
Docker
AWS
Linux
Postman
Vercel
Selected work

Projects

A collection of things I've designed and built — from AI tools to full-stack apps and games.