Burusothman Ahiladas

At PwC, I own product-level AI solution architecture for regulated data workflows, balancing Azure OpenAI capabilities, reliability, security controls, and operating cost.

I design RAG pipelines over EHR data, claims, and clinical text using embeddings and vector search, improving grounding for clinical and operational use cases. I also establish reproducible model development and evaluation practices with Azure AI Foundry, Azure ML, MLflow, and PyTorch.

Previously at Kunai and Capgemini, I delivered Python-based AI services, Hugging Face and LangChain workflows, and dependable backend integrations with C#, .NET, SQL Server, and REST APIs. I build production delivery practices with Docker, Kubernetes, CI/CD, drift monitoring, structured logging, and release controls.

Across healthcare, banking, and enterprise software, I focus on safe AI integration for sensitive data. I bring over 10 years of experience working with HIPAA, PHI/PII, de-identification, Responsible AI reviews, and secure model-service integrations.