Sai Sai Velpula Krishna
Ai Engineer @CVS Health
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WORK HISTORY
Ai Engineer @CVS Health
Jersey City, NJ, US
Designed and deployed AI-powered claims resolution and compliance agents using Amazon Bedrock, Lambda, and Step Functions.Built RAG-based LLM agents using LangChain and OpenSearch, deployed in EKS for e-commerce use cases.Integrated ChatGPT and Bedrock Agents into enterprise support workflows, improving real-time accuracy by 45%.Developed voice-based GenAI bots with Amazon Connect and Lex, enhancing multilingual service delivery.Architected secure, multi-tenant LLM pipelines using CloudFormation, IAM, and VPC endpoints across AWS accounts.Delivered anomaly detection, HR bots, and financial scoring models using SageMaker, Lambda, and QuickSight.Mentored engineers and led CI/CD for GenAI using AWS CDK, GitHub Actions, and CodePipeline.Constantly piloted and optimized Bedrock, LangChain, and LLM orchestration patterns for performance.
EDUCATION
Cleveland State University
Master's degree, Computer Science
ABOUT SAI SAI VELPULA KRISHNA
I’m an AI/ML Engineer with 5+ years of experience across NLP, machine learning, and modern Generative AI systems, working in healthcare, finance, and enterprise domains.My early experience focused on NLP and transformer-based language models, text generation, embeddings, and retrieval-assisted generation. In recent years, my work has centered on building production-grade GenAI systems using modern LLM platforms, RAG architectures, and structured prompt design.I specialize in translating business workflows into intelligent, context-aware AI systems using LangChain, Azure OpenAI, AWS Bedrock, and scalable cloud-native architectures.Recent focus areas include:Core Strengths:• Designing and deploying multi-tenant GenAI architectures using AWS Lambda, Bedrock, and Step Functions• Developing ChatGPT-integrated support bots and voice assistants with Amazon Connect and Lex• Building secure AI pipelines with CloudFormation, IAM, and VPC endpoints• Implementing RAG-based LLM agents using LangChain, OpenSearch, and Pinecone• Automating analytics and decision workflows via Python, TensorFlow, and SageMakerAt CVS Health, I designed and deployed AI-powered claims and compliance agents, increasing real-time accuracy by 45%. I’ve also contributed to data-driven automation, HR bots, and financial scoring systems leveraging AWS and Azure ML.I’m passionate about bridging AI with business impact — ensuring that every model, every agent, and every automation serves a measurable business purpose.Tech Stack:Python | LangChain | LangGraph | Agentic AI | Generative AI | Large Language Models (LLMs)| OpenAI | Azure OpenAI | AWS Bedrock | Azure ML | AWS SageMaker | TensorFlow | PyTorch | Hugging Face Transformers | Retrieval-Augmented Generation (RAG)| Semantic Search | Embeddings | Vector Databases | Pinecone | OpenSearch | FAISS | Weaviate | API Development | FastAPI | CloudFormation | GitHub Actions | MLOps | AI Agents | Conversational AI | Enterprise AI PlatformsLet’s connect:I’m open to new opportunities in AI Engineering, GenAI Solutions, and ML Systems Architecture — both on-site and remote.
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