Manideepika K

About Manideepika K

Senior AI/ML & AWS Cloud Engineer with 9+ years of experience designing and deploying cloud-native AI and Generative AI solutions in enterprise environments. Proven expertise in building agentic AI systems, LLM-powered applications, and Retrieval-Augmented Generation (RAG) architectures using Python and modern AI frameworks. Hands-on experience developing scalable APIs and microservices on AWS using Lambda, ECS, EKS, and API Gateway, with integrations across Amazon Bedrock and enterprise AI platforms. Strong background in cloud infrastructure, CI/CD automation with GitHub Actions, and Infrastructure as Code using CloudFormation and AWS CDK. Skilled at delivering secure, scalable, and production-ready AI platforms through collaboration with cross-functional engineering and platform teams.My work centers on taking large language models out of demos and into real-world enterprise use. I design and ship end-to-end GenAI solutions using Azure OpenAI and AWS Bedrock, focusing on document intelligence, conversational AI, and agent-based workflows that integrate cleanly with existing business systems.In recent roles, I’ve built Retrieval-Augmented Generation (RAG) platforms over regulatory and transactional data, developed secure LLM APIs for internal consumption, and created AI copilots that support compliance, reporting, and analytics teams. I spend a lot of time shaping model behavior through prompt engineering, experimentation, and evaluation, and making sure solutions meet security, privacy, and responsible AI requirements.I’m hands-on with the full lifecycle—data ingestion, embeddings, vector search, orchestration, deployment, and monitoring—using cloud-native architectures on Azure and AWS and Bedrock I’ve also delivered multimodal AI pipelines for large PDFs and image-based workflows, and containerized these systems for reliable scaling in production.I enjoy working closely with business stakeholders and SMEs to turn complex requirements into practical, maintainable AI systems that deliver measurable impact.Open to senior-level Generative AI and LLM engineering roles.

Experience

1. Gen Ai Engineer

   PwC

   Oct 2024 — Present · Tampa, FL, US

   Built and deployed production Generative AI applications on Azure using Azure OpenAI and Azure AI Services, including hands-on development of Copilot Studio solutions used for internal automation.

Education

• Sacred Heart University

  Graduate, Masters healthcare informatics