At FirstEnergy, I designed and developed shared enterprise MLOps platforms across AWS and Microsoft Azure for teams in Customer Analytics, Infrastructure, Finance, and Regulatory. I also architected infrastructure spanning model development, training, registries, deployment, and production inference.
I built automated ML pipelines with Python, AWS SageMaker, and Azure Machine Learning, and developed data processing pipelines using Apache Spark, Databricks, and Delta Lake. I implemented validation and monitoring workflows for production machine learning systems.
At FirstEnergy, I also developed generative AI applications and agentic workflows using Python, LangGraph, and large language models. I built FastAPI and Django services to integrate AI/ML capabilities with enterprise systems.
Previously, at Hexagon Asset Lifecycle Intelligence, I designed enterprise ML infrastructure across Azure and Google Cloud Platform and built vector search and retrieval infrastructure using Milvus and Pinecone. I also developed cloud-native services and workflows for LLM applications, including guardrails and model validation.
