Principal AI/ML Engineer and Staff Software Engineer with 10 years of progressive experience architecting, building, and operationalizing production AI/ML systems, large language model applications, and generative AI platforms for regulated industries including financial services, capital markets, government, and retail. Deep hands-on expertise across the complete machine learning engineering lifecycle from dataset curation, feature engineering, and model training through evaluation, deployment, monitoring, and continuous retraining in production environments. Proven record of delivering measurable outcomes including 60 percent reduction in processing latency, 30 percent decrease in data errors, and systems sustaining 10M-plus daily event throughput. Specialized in LLM engineering, Retrieval-Augmented Generation (RAG), Agentic AI systems, LangChain, LangGraph, Knowledge Graphs, and the full LLMOps stack including prompt engineering, context window management, embedding pipelines, vector database integration, guardrail implementation, and responsible AI governance. Combines deep AI/ML engineering proficiency with strong software engineering fundamentals across Python, Java, and Scala, extensive cloud AI platform experience across AWS Bedrock, SageMaker, and Azure Machine Learning, and data engineering capability across Apache Kafka, Apache Spark, and distributed data platforms. Experienced engineering leader managing 8-plus person cross-functional teams, driving ML architecture decisions, and translating business problems into applied AI solutions delivered within Agile frameworks.…Principal AI/ML Engineer and Staff Software Engineer with 10 years of progressive experience architecting, building, and operationalizing production AI/ML systems, large language model applications, and generative AI platforms for regulated industries including financial services, capital markets, government, and retail. Deep hands-on expertise across the complete machine learning engineering lifecycle from dataset curation, feature engineering, and model training through evaluation, deployment, monitoring, and continuous retraining in production environments. Proven record of delivering measurable outcomes including 60 percent reduction in processing latency, 30 percent decrease in data errors, and systems sustaining 10M-plus daily event throughput. Specialized in LLM engineering, Retrieval-Augmented Generation (RAG), Agentic AI systems, LangChain, LangGraph, Knowledge Graphs, and the full LLMOps stack including prompt engineering, context window management, embedding pipelines, vector database integration, guardrail implementation, and responsible AI governance. Combines deep AI/ML engineering proficiency with strong software engineering fundamentals across Python, Java, and Scala, extensive cloud AI platform experience across AWS Bedrock, SageMaker, and Azure Machine Learning, and data engineering capability across Apache Kafka, Apache Spark, and distributed data platforms. Experienced engineering leader managing 8-plus person cross-functional teams, driving ML architecture decisions, and translating business problems into applied AI solutions delivered within Agile frameworks.WWWW…