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Mrunmai Tippat

@mrunmaitippat

Software engineering intern at Infosys Springboard who developed a lost-and-found platform and an AI feedback analysis system.

India

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What I'm looking for

I'm seeking an entry-level software engineering opportunity where I can contribute, grow, and work in a technology-driven environment.

At Infosys Springboard, I developed a full-stack lost-and-found platform with item matching, messaging, and an admin dashboard. I also designed MongoDB collections and REST APIs for posting, searching, and filtering items.

At Shamgar Software Solutions, I developed SentimenX Enterprise, a sentiment analysis system trained on more than 127,000 customer feedback records, with 78.4% precision. My projects include an AI-powered loan assistant and a Parkinson’s disease prediction application, whose models achieved 93.3% accuracy on MRI data and 91.7% on spiral drawing data.

Experience

Work history, roles, and key accomplishments

AI-ML Engineer Intern

Shamgar Software Solutions

Oct 2025 - Mar 2026 (5 months)

Developed a sentiment analysis system using Python, Scikit-learn, Flask, and React, trained on over 127,000 customer feedback records achieving 78.4% precision. Built a Flask REST API for single and bulk predictions, and a React dashboard for visualizing results.

Python scikit learn Flask React Sentiment Analysis REST APIs

Java Developer Intern

Infosys Springboard

Nov 2025 - Feb 2026 (3 months)

Developed a full-stack Lost & Found platform using React, Next.js, Node.js, Express.js, and MongoDB with JWT-based authentication and role-based access control. Designed MongoDB collections and REST APIs for item posting, searching, and filtering, and implemented an item-matching feature and admin dashboard.

React Next.js NodeJS ExpressJS MongoDB JWT Authentication Role Based Access Control REST APIs