** Technical Lead - GenAI: Retrieval Augmented Generation (RAG) | R&D **~Led a team to develop an advanced RAG tool for processing extensive document corpora and providing precise responses to user queries for a major project.~Utilized advanced techniques such as semantic chunking, recursive chunking, and others to optimize tool performance and evaluation.~Collaborated with models like Anthropic and Titan, leveraging a serverless AWS platform to reduce operational and development costs.~Coordinated across multiple teams, including UI/UX, DevOps, and client-facing units, to ensure seamless delivery and rapid development.** GenAI Assets | Advanced Multilingual Sentiment Analysis Tool**~Created a sophisticated Sentiment Analysis Tool capable of processing complex multilingual audio files, transforming spoken language into detailed text scripts.~Leveraged cutting-edge AI techniques, integrating powerful language models like GPT to accurately analyze the sentiment of speakers within the audio, ensuring nuanced understanding of tone and context.~Designed a seamless, user-friendly Streamlit interface, enabling real-time audio transcription and sentiment analysis with exceptional accuracy and scalability.

** GenAI Asset | Dynamic Test Case Generator Tool **~Developed a cutting-edge Test Case Generator tool designed to rapidly generate comprehensive Unit Test Cases for multiple user stories simultaneously.~Integrated a streamlined and intuitive Streamlit UI, enabling users to efficiently manage test case creation and export results as detailed Excel tables and CSV files for seamless download and distribution.~Optimized the tool for scalability, allowing for the generation of high-volume test cases with enhanced accuracy and efficiency, transforming the testing workflow.

* Created Digital Twins, and Reduced Order Model using Twin Builder on various experimental datasets using Ansys Twin Builder.* Simulated Battery Capacitance Fade in NASA Battery Dataset for Reference Discharge and RandomWalk Discharge using Hybrid Analytics on Ansys Twin Deployer.* Offered a Pre-Placement Offer

*With a group of Undergraduate Engineers interested in being a part of a project, designing, manufacturing, and being responsible for the Sales and Marketing of A Self-Propelled Onion Digger.*Raised and handled approximately 2 Lac Rupees, by attracting our faculty and institute to our idea and design.* Won the prize for the MOST ECONOMICAL VEHICLE for 2019 & 2020 by SAE India.