Vamshi Krishna

I’m a Gen AI Engineer with 4+ years of experience designing, developing, and deploying enterprise-grade Generative AI and Machine Learning solutions across banking, healthcare, and enterprise technology. I build GenAI systems that drive automation, operational efficiency, compliance, and data-driven decision-making.

My work centers on Generative AI (LLMs) for document summarization, regulatory compliance, claims automation, clinical text processing, financial forecasting, and intelligent decision support systems. I integrate GPT-style and transformer models into production applications—delivering LLM-powered chatbots and virtual assistants that improve service efficiency and response accuracy.

I specialize in architecting secure Retrieval-Augmented Generation (RAG) pipelines using LangChain, vector embeddings, semantic search, and vector databases like Pinecone, FAISS, and Weaviate. I also implement end-to-end MLOps/LLMOps with CI/CD, model versioning, experiment tracking, prompt lifecycle management, and monitoring using Jenkins, Git, MLflow, Docker, and Kubernetes—while supporting governance requirements.

I’m known for pairing technical depth with enterprise reliability: implementing Explainable AI and Responsible AI (XAI, bias detection, fairness evaluation, audit logging), and building HIPAA/SOC2-aligned secure AI infrastructure. Across roles, I lead cross-functional collaboration, deliver proof-of-concepts (PoCs), mentor engineers, and translate AI outputs into actionable business intelligence through dashboards in Power BI and Tableau.