Summary
Rohan Dhupar is a GenAI/LLM engineer and data scientist with nine years of experience specializing in NLP for legal, retail, and finance domains and a strong track record of productionizing ML/DL systems on cloud platforms. He has built end-to-end document-intelligence and RAG-powered voice AI solutions—recently integrating GPT-4o, ChromaDB, WebRTC, and scalable FastAPI microservices at Mercedes-Benz. Prior roles span advanced OCR-LLM pipelines, fraud detection at scale, and hyperspectral image research published in IEEE, reflecting a blend of applied research and pragmatic engineering. Proficient across Python, transformers (BERT/T5), Spark, Airflow, Docker, and AWS/Azure, he repeatedly improves deployment efficiency and model accuracy in resource-constrained settings. A regular guest speaker and early “detective” coder since 1996, he pairs strong data engineering instincts with product-aware model design. Based in Stuttgart and pursuing an MS in Computational Linguistics, he’s passionate about balanced living while shipping robust AI systems.
9 years of coding experience
6 years of employment as a software developer
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Master of Science - MS Computational Linguistics, Master of Science - MS Computational Linguistics at University of Stuttgart
High School PCM, High School PCM at The Air Force School (TAFS), Subroto Park
English