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

Remote

Remote







Bachelor of Technology - BTech, Computer Science
Walchand Institute of Technology, Solapur
HSC
Shri Brijlal Biyani Science College , Near Dashara Ground, Durga Vihar, Amravati.
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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
Amravati
claude
lovable
openai
perplexity
replit
Blackbox AI
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.
Bachelor of Technology - BTech, Computer Science, Walchand Institute of Technology, Solapur
HSC, Shri Brijlal Biyani Science College , Near Dashara Ground, Durga Vihar, Amravati.
github: https://github.com/Mrunmai04