Mayank Shrivastava. profile photo 1 on Tal

Mayank Shrivastava.

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

Bhopal

< 1 year of work experience

Infosys Springboard
Dec 20253 mosFeb 2026

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.
Maulana Azad National Institute of Technology (MANIT), Bhopal
Jun 20252 mosJul 2025

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 & dropout to improve model generalization and reduce overfitting. • Built and trained model using Python, TensorFlow & Keras — tested on live webcam feed via Google Colab and local environment.

Education

samrat ashok technological institute

Engineer's degree, Computer Science and engineering

samrat ashok technological institute

20233 yrs2026
Govt. Polytechnic College

Diploma, Computer Science and engineering

Govt. Polytechnic College

20203 yrs2023

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Mayank Shrivastava. on Tal

Headline

Full-Stack & 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 & dropout to improve model generalization and reduce overfitting. • Built and trained model using Python, TensorFlow & 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