Director of Applied AI with 12 years building quantitative and AI-driven decision systems across defense, finance, and energy industries. Specialized in architecting decision systems that optimize for operational impact, not theoretical perfection, by defining the right problem before solving it. Built and scaled data science teams, led a multi-team organization, and founded an applied AI function from scratch.
Professional experience
Director of Applied AI · Arcadia
- Lead AI strategy and implementation for a utility data platform.
- Built the Applied AI function, owning the company-wide AI roadmap, staffing, technical standards, and career development framework.
- Reframed evaluation for LLM-based bill extraction around agreement with existing methods, logical checks, and controls, removing a ground-truth dependency and enabling a working MVP.
- Shipped LLM extraction systems to production, processing live enterprise customer bills.
- Established shadow scoring, canary releases, confidence-based routing, and explicit fallback paths for evaluating and deploying AI against production workloads.
- Co-authored AI use-case disclosures and a model inventory for enterprise customer security and legal reviews.
Senior Manager, Data Science · Technical Lead, DoD · C3 AI
- Led machine learning, optimization, and simulation delivery across a defense portfolio.
- Scaled a data science organization, with responsibility for hiring, staffing, technical standards, and culture. Coached teams to decompose ambiguous modeling problems into tractable experimental programs.
- Served as a senior technical interface with government stakeholders and led technical proposal reviews and use-case refinement.
- Designed decision-space exploration tools for logistics planning, aligning modeling approaches with leadership needs and data constraints.
- Used LLM-based workflows as an interface to deterministic tools, maintaining controlled execution and reliable outputs.
- Directed modernization of forecasting and assignment workflows, selecting simulation and assignment methods for decision quality, turnaround time, and interpretability.
- Refocused predictive maintenance work on high-impact failure modes and developed processes for target identification, feature selection, and impact assessment.
- Led synthetic data modeling, diagnosing gaps in data coverage and balancing physical consistency, accuracy, and runtime.
Senior Manager, Card Operations · Capital One
- Led multiple teams responsible for configuration, testing, and deployment of consumer credit card product details in a regulated environment.
- Managed staffing, performance, and organizational change as automation transformed established workflows.
- Replaced informal peer review with formal controls, reducing errors and cycle times.
Operations / Quantitative Analyst · Weiss Asset Management
- Managed treasury operations, cash allocation, foreign exchange, and counterparty exposure for an arbitrage-focused hedge fund.
- Designed risk frameworks with leadership and automated treasury and counterparty allocation processes.
- Pitched and launched a statistical arbitrage strategy, owning research, monitoring, execution, and risk tooling.
Education & technical expertise
Harvard Extension School — ALM, Software Engineering; Graduate Certificate, Data Science | 2019–2023
Stanford University — B.A., Philosophy; Arabic Minor; Co-Captain, Varsity Rowing | 2007 – 2011
CFA Institute — CFA® Charterholder | 2017 – 2023
AI/ML: Large Language Models · Agentic Workflows · Bayesian Modeling · Causal Inference · ML Systems
Decision Science: Optimization (MILP/Heuristics) · Operations Research · Forecasting · Simulation
Environments: Python · AWS/Azure · MLOps (Shadow Scoring/Canaries)