Shubham Kumar Jha

I am a passionate and results-driven Computer Science undergraduate specializing in Machine Learning at Gautam Buddha University. With strong foundations in Python, Deep Learning, NLP, and Generative AI systems, I focus on building intelligent, scalable, and high-performance AI solutions. I have hands-on experience designing advanced Retrieval-Augmented Generation (RAG) pipelines, multi-agent LLM systems, and production-ready NLP applications. My projects demonstrate measurable impact, including reducing query response time by 42%, improving information retrieval accuracy by 27%, and achieving 89% accuracy in sentiment analysis using ensemble methods. I am particularly interested in AI system architecture, multi-agent coordination frameworks, and real-world deployment of machine learning models. As an active Kaggle competitor, I continuously sharpen my problem-solving skills by applying advanced ML techniques to real-world datasets. I am seeking opportunities where I can contribute to cutting-edge AI solutions while continuing to grow as a Machine Learning Engineer.