14 years designing and delivering enterprise AI, ML, and distributed data platforms across financial services, healthcare, retail, and geospatial domains — from Fortune 100 programs to early-stage startups.
I'm a Principal AI Engineer with 14 years of experience architecting and delivering enterprise-scale AI, ML, and distributed data platforms across financial services, healthcare, retail, and geospatial domains.
My focus is on production GenAI systems — agentic AI, retrieval-augmented generation (RAG), and LLM-powered applications — built on cloud-native infrastructure and large-scale distributed computing. I've led cross-functional engineering teams, defined technical strategy, and delivered AI platforms serving Fortune 100 enterprises, alongside hands-on work with fast-moving startups.
I care most about the gap between a promising model and a production system people can actually depend on — reliability, scale, cost, and trust all matter as much as accuracy.
Designing autonomous, tool-using agents and multi-step LLM workflows for real enterprise processes.
Retrieval-augmented generation pipelines and LLM applications built for accuracy, latency, and cost at scale.
Large-scale distributed computing and data platforms that power ML and analytics across the business.
End-to-end AI platform architecture on modern cloud infrastructure, built to scale and to last.
Production GenAI, ML, and data platforms delivered for Fortune 100 enterprises and high-growth startups.
A production GenAI agent that reviews wire payment transactions, identifies intermediary bank code discrepancies, and autonomously initiates corrective actions — cutting manual review time by over 80%.
A GenAI agentic assistant integrating enterprise knowledge and action systems across Jira, Confluence, SharePoint, GitHub, and BAM — enabling contextual retrieval, application modernization, and automated actions.
A GenAI-based data processing platform enabling underwriters to process unstructured content — improving underwriting efficiency by 30x.
A real-time streaming data platform enabling in-session predictions and automated model retraining, executing marketing campaigns that drove revenue up to 10x.
Batch and real-time streaming data pipelines processing terabytes of data and millions of events per day on the #1-ranked HERE Platform.
A scalable system to receive, store, manage, and deliver high-quality places data through the Places Manager API — processing 1.2B+ records a day.
14 years architecting AI, ML, and data platforms across financial services, insurance, retail, and geospatial domains.
Open to conversations about enterprise AI strategy, GenAI platform work, and select advisory or leadership opportunities.