AI Intern @ Tech Mahindra | CSE’26 @ MIT-WPU | GenAI • AI/ML • Data Science

Pune

MIT World Peace University

Mount Litera Zee School - India
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Download Tal BossAI Intern @ Tech Mahindra | CSE’26 @ MIT-WPU | GenAI • AI/ML • Data Science
Computer Engineering student passionate about solving real-world problems using AI, Machine Learning, and Generative AI. I actively explore how intelligent systems can improve domains like healthcare, agriculture, and productivity, while also developing applications using the MERN stack and modern UI/UX principles to ensure seamless user experiences. I have worked on impactful projects including a Smart Meeting Summarization system that converts meeting audio/video into structured summaries and action items using Whisper ASR, BART/PEGASUS, and BERT. I also developed a Corn Disease Detection multimodal deep learning system using CNN-LSTM to support early agricultural diagnosis. Along with development, I am also engaged in AI research. I recently received the Best Paper Award for my research titled “Lightweight Semantic Compression for Redundant Prompts in Open-Source Language Models”, which has been published in Springer. I continue to expand my skills through internships, collaborative projects, and continuous learning, focusing on bridging research, engineering, and practical impact.
Pune District
AI Intern at Tech Mahindra, Jan 2026 - Present · 5 mos, Pune
MIT World Peace University
Mount Litera Zee School - India
github: https://github.com/riyashelke