I lead programs at the intersection of AI strategy, program management, and applied research. My work focuses on delivering ML, LLM, and agentic AI capabilities, aligning technical roadmaps with organizational goals, and ensuring safety and evaluation at scale. I bring experience as a Chief Science Officer, Program Manager, and Research Scientist, spanning academia, startups, and government research.
- AI & Agent Systems – LLMs (Gemini, Claude, ChatGPT), Google ADK, Snowflake, Oracle, orchestration/state management, retrieval-augmented generation (RAG), evaluation and prompt design
- Program Leadership – delivery of $1M+ programs, portfolio management (30+ projects), critical-path, dependency tracking, KPI dashboards, risk management
- Enterprise Engagement – executive briefings, client strategy workshops, cross-functional leadership across engineering, research, and product teams
- Responsible AI & Safety – human-feedback pipelines, HIPAA-compliant workflows, ethical compliance, reliability monitoring
- Agentic GEE Assistant – AI-driven orchestration of Google Earth Engine data for geospatial workflows
- Agentic Research Assistant – Prototyping LLM-powered assistants for research and technical workflows
- Spatial Modeling & Decision Support – Large-scale modeling projects integrating ecological, spatial, and ML datasets for policy and resilience planning
- LLMs and agentic workflows in production environments
- Scalable program and portfolio management
- Evaluation pipelines and responsible AI practices
- Translating complex data into decision-support tools