---
title: "Mrunmai Tippat - Java Developer in Amravati | Tal"
description: "Meet Mrunmai Tippat, Turning Complex Ideas into Practical Digital Solutions | Exploring AI, Product & User Experience | B.Tech CSE Graduate based in Amravati. AI stack includes claude, lovable, and openai. Explore public work links including github."
image: "https://tal.club/meet/mrunmai-tippat/share-image"
---

# Mrunmai Tippat on Tal

## Headline

Turning Complex Ideas into Practical Digital Solutions \| Exploring AI, Product & User Experience \| B\.Tech CSE Graduate

## About

I build intelligent, scalable, and user\-focused technology solutions that turn complex problems into practical systems\. I’m Mrunmai, a Computer Science & Engineering graduate with hands\-on experience across AI/ML, full\-stack development, backend systems, and product\-oriented problem solving\. I’m particularly interested in the intersection of intelligent technologies and well\-designed digital experiences—where strong engineering, thoughtful architecture, and usability come together to create solutions that can genuinely be used in the real world\. During my internship at Shamgar Software Solutions, I worked on SentimenX Enterprise, an end\-to\-end feedback intelligence system trained on 127,000\+ customer feedback records\. I contributed to the ML pipeline, Flask\-based REST services, and React dashboard, with a focus on making model\-driven insights practical and understandable for users\. At Infosys Springboard, I worked on a Campus\-Intelligent Lost & Found Locator, developing a full\-stack platform with authentication, Role\-Based Access Control \(RBAC\), search and filtering, item matching, messaging, and administrative capabilities\. These experiences strengthened my understanding of how different layers of a technology solution work together to deliver reliable user experiences\. I’ve also worked on AI\-driven projects including a Parkinson’s Disease Prediction System using MRI and spiral\-drawing analysis, as well as FIN\-AI, an AI\-powered financial advisory assistant integrating Google's Gemini API\. Beyond projects and internships, I’ve had a research paper accepted at S4SD 2025 \(Springer STEAM\-H proceedings, Scopus\-indexed\) and have been a 2× Smart India Hackathon institute\-level finalist\. These experiences have strengthened my ability to collaborate, learn quickly, solve problems, and deliver under real constraints\. Now, as a recent B\.Tech graduate, I’m open to AI/ML, software engineering, full\-stack, backend, product, and technology\-focused entry\-level opportunities where I can contribute to meaningful products, learn continuously, and grow with the team\. 📩 Let’s connect: mrunmaitippat04@gmail\.com

## Location

Amravati

## AI stack

claude

lovable

openai

perplexity

replit

Blackbox AI

## Work experience

Java Developer at Infosys Springboard, Nov 2025 \- Feb 2026 · 4 mos, Remote, Developed the "Campus\-Intelligent Lost & Found Locator," a full\-stack web application designed with clear frontend\-backend separation and secure RESTful APIs\. Key Engineering Footprint: • Security & Access Control: Built robust user authentication and Role\-Based Access Control \(RBAC\) mechanisms to protect system directories and administrative routes\. • Intelligent Matching Logic: Developed and implemented an intelligent proximity\-matching algorithm based on descriptive item attributes and location similarity vectors\. • UI & Schema Design: Designed optimized relational database schemas for high\-concurrency user management and created responsive administrative data dashboards using React and TypeScript\.

AI ML Engineer Intern at Shamgar Software Solutions, Oct 2025 \- Mar 2026 · 6 mos, Remote, Engineered "SentimenX Enterprise," an end\-to\-end machine learning application built for high\-volume corporate feedback sentiment analysis, trained on a 127K\+ record dataset to automate business intelligence gathering\. Key Engineering Footprint: • Explainable AI \(XAI\) Implementation: Engineered a transparency layer using model coefficients to visualize real\-time feature importance, identifying specific tokens influencing classification to move beyond "black\-box" predictions\. • Scalable Backend Engineering: Built a Flask\-based REST API utilizing vectorized inference to process batches of 1,000\+ records simultaneously, optimizing performance and throughput for enterprise\-level datasets\. • Human\-in\-the\-Loop \(RLHF\) Integration: Implemented a Reinforcement Learning from Human Feedback validation pipeline, allowing human auditors to flag inaccuracies for continuous model fine\-tuning\.

## Education

Bachelor of Technology \- BTech, Computer Science, Walchand Institute of Technology, Solapur

HSC, Shri Brijlal Biyani Science College , Near Dashara Ground, Durga Vihar, Amravati\.

## Public links

- github: https://github\.com/Mrunmai04

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

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