---
title: "Mayank Shrivastava. - Full-Stack Developer Intern in Bhopal | Tal"
description: "Meet Mayank Shrivastava., Full-Stack & ML Developer | MERN • React Native • Spring Boot | 500+ Users Served | B.Tech CSE ’26 | Ex-Infosys Intern based in Bhopal."
image: "https://tal.club/meet/mayank-shrivastava/share-image"
---

# Mayank Shrivastava\. on Tal

## Headline

Full\-Stack &amp; ML Developer \| MERN • React Native • Spring Boot \| 500\+ Users Served \| B\.Tech CSE ’26 \| Ex\-Infosys Intern

## About

I'm a final\-year CSE student at SATI Vidisha, specializing in Full\-Stack Development, React Native, and Machine Learning\. I've built production\-ready apps serving 500\+ users — including ParkEase, a smart parking platform with real\-time slot booking, dual\-backend architecture, and JWT auth\. I also developed Insta\-School, a cross\-platform ERP app for schools using React Native \+ Firebase\. Previously interned at Infosys Springboard \(as Project Lead\) and MANIT Bhopal \(ML Intern\), where I built a CNN\-based facial emotion recognition system with 7\-class classification\. I'm open to full\-time roles or internships in Full\-Stack / Mobile / ML Development\. Let's connect\!

## Location

Bhopal

## Work experience

Full\-Stack Developer Intern at Infosys Springboard, Dec 2025 \- Feb 2026 · 3 mos, Remote, • Led end\-to\-end development of ParkEase smart parking platform as Project Lead — from requirement analysis to deployment in an Agile team of 5\. • Built real\-time slot detection and booking system serving 500\+ parking spots using React Native \(frontend\) \+ Spring Boot \+ MySQL \(backend\)\. • Designed Triple\-Panel architecture \(Driver, Provider, Admin\) with role\-based access control for 3 distinct user types\. • Integrated JWT authentication and Socket\.io for secure, real\-time updates across all user sessions\. • Built scalable RESTful APIs connecting mobile frontend to backend reservation logic — tested via Postman\.

Machine Learning Intern at Maulana Azad National Institute of Technology \(MANIT\), Bhopal, Jun 2025 \- Jul 2025 · 2 mos, Bhopal, Madhya Pradesh, India, • Developed a CNN\-based facial emotion recognition system using FER\-2013 dataset — classified 7 human emotions with real\-time detection\. • Integrated OpenCV for live face detection; applied data augmentation, normalization &amp; dropout to improve model generalization and reduce overfitting\. • Built and trained model using Python, TensorFlow &amp; Keras — tested on live webcam feed via Google Colab and local environment\.

## Education

Engineer's degree, Computer Science and engineering, samrat ashok technological institute

Diploma, Computer Science and engineering, Govt\. Polytechnic College

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

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