Shobhit Upadhyay

I am a final-year Computer Science and Data Analytics undergraduate with hands-on experience in AI, machine learning, and software development. My work at Scale AI as an RLHF AI Trainer involved fine-tuning and evaluating models for mathematics and code generation, contributing directly to the performance of OpenAI systems. I’ve also completed a .NET training internship at Capgemini, where I worked on frameworks like ASP.NET with Redis, RabbitMQ, and JWT integration.Beyond internships, I’ve independently built several impactful projects. These include a Text-to-SQL converter powered by LangChain and OpenAI embeddings, deployed with LangServe and AWS RDS, as well as a multi-agent use case generator using CrewAI and Streamlit, designed to simulate end-to-end data workflows. These projects demonstrate my proficiency in prompt engineering, multi-agent LLM systems, and real-world GenAI applications.I am skilled in Python, Java, and .NET, and have worked with tools such as Redis, FAISS, Tableau, and RabbitMQ. My passion lies in building intelligent, scalable systems that bridge the gap between deep learning models and real-world use cases. With a strong foundation in both backend and AI-driven logic, I am eager to contribute to innovative teams solving complex problems with cutting-edge technology.