Data Science and Generative AI professional with expertise in building scalable ML solutions for Fortune 500 companies across Airlines, Healthcare, and Pharmaceutical sectors. Currently pursuing MS in Data Science at UPenn while bringing 3+ years of hands-on experience in LLM Engineering, RAG architectures, and ML model optimization.At ZS Associates, I've led multiple high-impact projects including developing demand forecasting models that improved accuracy by 15+ points and building Document-QA systems that saved $600k annually. I specialize in optimizing large-scale data pipelines, having achieved 35x performance improvements on 5TB+ data volumes using PySpark and Kubernetes.Passionate about solving complex technical challenges using cutting-edge technologies like MultiModal RAG, Vector Databases, and LangChain. Currently working on advanced QA tools using Google's Gemini for handling extensive training manuals in regulated industries.Beyond tech, I'm an accomplished badminton player with 3 national championships under my belt. I believe in giving back to the community through initiatives like Money Muffin and TedxBMU.Technical expertise:ML/AI: LLM Engineering, Prompt Engineering, RAG, Time Series ModelingLanguages & Tools: Python, SQL, Java, PySpark, AWS, KubernetesData Engineering: ETL, Data Mining, Database Design, System ArchitectureOpen to collaborating on innovative projects in ML/AI and Data Science. Let's connect!Link to Resume - https://bit.ly/ResumeDivyanshu