Hanish Kukkala

Data Scientist @CVS Health

US

Designed and deployed scalable Generative AI solutions leveraging LLMs (GPT, LLaMA, Claude) to automate investment insights and financialdocument summarization, improving research productivity by 35%.• Developed Retrieval-Augmented Generation (RAG) pipelines using LangChain, FAISS, and Pinecone, enhancing model context accuracy by 40%.• Fine-tuned transformer-based models with PyTorch and Hugging Face, achieving a 25% improvement in NLP classification precision.• Deployed ML systems using AWS SageMaker, Docker, Kubernetes, and MLflow, reducing model release cycles by 50%.• Partnered with data engineering and product teams to build AI-driven analytics dashboards, resulting in 20% faster decision-making acrossinvestment operations.• Implemented explainable AI (XAI) techniques and model monitoring frameworks to ensure transparency, fairness, and drift detection inproduction.• Led cross-functional AI initiatives to integrate GenAI insights into financial research workflows, boosting analyst efficiency by 30%.

VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)

Bachelor of Technology, Electrical, Electronics and Communications Engineering

University of Central Missouri

Master's Degree, Computational Science