I’ve worked at EY Global Delivery Services on enterprise emerging technology, shifting from .NET backend into Python and advanced AI engineering. I designed and built synthetic data generation for large financial and audit datasets, including orchestration for workloads that exceed standard worker timeout limits.
I also develop FastAPI services, LLM prompt-template systems, and RAG-style semantic account mapping with embeddings and LlamaIndex. On Azure, I’ve built orchestration for Azure Container Apps Jobs and Databricks lifecycles, with Redis caching, job tracking, quota/throttling, and DevSecOps-enabled delivery pipelines.
