Decision systems, analytics infrastructure, and applied AI.
Two lenses on the same practice. Case studies show the production systems I’ve built across pricing, experimentation, and internal tooling. AI systems show the same systems-thinking applied to agentic workflows — grounded, tool-using, with clear human review points.
Case Studies
4 Studies · Pricing · Validation · ToolingFrom Spreadsheet Review to Agentic Oversight: Rearchitecting Pricing Compliance at Scale.
A RAG + MCP tool layer and Monte Carlo anomaly engine that cut analysis cycle time 70%+ and sustained 99.9%+ accuracy across 1,000+ pricing deployments on a $20B+ lending portfolio.
Experimentation Guardrails: A Validation Layer for High-Stakes Pricing Launches.
A pre-launch validation framework that replaces ad-hoc, per-analyst QA with a shared check catalog — so every pricing experiment and launch ships with a structured, signed review artifact rather than a wiki page and an eyeball.
Risk Approval Simulation: Evaluating Policy Changes Before They Ship.
A simulation framework that turns proposed risk-model and policy changes into structured (population, policy, decomposition) triples — so stakeholders can compare approval, mix, and segment sensitivity before anything ships, with every assumption named as a first-class object.
Operational Intelligence: A Workflow Layer for Fragmented Pricing Deployments.
A bot + workflow layer that subscribes to events across the half-dozen systems a pricing deployment touches and reconciles them into one canonical state — so 'where is this?' and 'who owns the next step?' stop being questions that take four DMs to answer.
AI Systems
4 Systems · Agentic · AppliedDataPilot
Turns natural-language questions over a lending portfolio into planned SQL, executed queries, and inline visualizations — compressing the analyst round-trip from half-an-hour to seconds.
ClinicalPilot
Grounds clinical reasoning over de-identified ICU EHR data in the underlying source tables and patient IDs — with guardrails that keep the system out of prescriptive territory.
MarketPulse
Stitches together Redfin and FRED data across 96 Bay Area zip codes to answer affordability, comparison, and trend questions an analyst would otherwise assemble by hand.
LifeContext
A concept system exploring how recommendation could feel if it reasoned over time-of-day, mood, and lifestyle context — not just watch history. Treated as a product-design case study in signal selection and tradeoffs.