I'm a Senior Consultant at EY Studio+ in Chicago, working where product delivery, cloud reliability, quality engineering, and applied AI meet. I've helped ship a retail platform across 100+ locations, supported a federal cloud implementation with zero audit findings, and built the observability and release practices that let enterprise teams deploy without a group chat full of prayers.
Outside client work, I design and ship open-source product systems in Swift, Rust, Python, and TypeScript. Each starts with a messy decision or workflow — finishing a document, understanding a portfolio, preparing a trip, learning a codebase — and turns it into something people can inspect, act on, and keep. I care about the unglamorous part that starts where the demo ends: failure handling, documentation, installers, updates, and evidence that the thing actually works.
Each product takes a fragmented workflow and gives it a clear end state: one finished document, a reviewable portfolio decision, a forecast with a track record, a trip-ready brief, a codebase you can explain, or a learning practice that survives the app.
Turn fragmented inputs into a finished artifact or a reviewable decision.
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A native macOS workspace that takes a pile of PDFs, scans, images, and office files through repair, organization, OCR, editing, review, signing, protection, and export — without bouncing between specialist tools.
EXPLORE |
A portfolio decision cockpit that combines holdings, live prices, risk math, market regime, news, and SEC context into plain Hold / Add / Trim / Exit calls, prioritized actions, and reviewable DCA steps.
EXPLORE |
Keep the evidence, timing, and handoff visible enough to challenge.
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An accountable football forecasting workbench where model voices show their evidence, predictions are sealed before kickoff, and results build a visible forward track record and calibration history.
EXPLORE |
A trip-readiness workspace that turns reservation evidence, official advice, weather, saved places, and traveler-authored plans into conflicts to resolve, an offline Today view, and a redacted brief worth sharing.
EXPLORE |
Move from consuming content to understanding and practice that persist.
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A code-learning game that maps real Python, JavaScript, and TypeScript projects into a parser-proven galaxy, then makes learners study source, follow relationships, and pass graph-derived checks to light it up.
EXPLORE |
A learning workspace that turns curricula and source material into a living system: a checkable roadmap, today's next objective, durable notes, dated progress, and a knowledge graph that follows Obsidian-style links.
EXPLORE |
| Principle | What it means in practice | |
|---|---|---|
| 🎯 | Outcome before feature | Start with the job someone needs to finish, then make every screen move that work forward. |
| 🧭 | Make reasoning inspectable | Preserve sources, calculations, provenance, and history so an answer can be challenged instead of merely trusted. |
| 🗃️ | Users own the artifact | Prefer durable formats, reversible changes, and deliberate sharing when the work or data is personal. |
| 🧪 | Quality is architecture | Design for observability, failure modes, testability, and releases that don't need a hero. |
| 📦 | Ship the whole product | Docs, installers, updates, demos, and release automation. Source code is the easy half. |
Chosen per problem, not per hype cycle.
| When | Role | Focus |
|---|---|---|
| 2025 — now | Senior Consultant · EY Studio+ | Cloud quality leadership · observability · applied AI strategy |
| 2022 — 2025 | Consultant · EY | Quality & performance engineering · federal cloud delivery |
| 2021 | IT Leadership Intern · SAP America | SAFe product delivery across Germany, the US, and India |
Education: MS, Information Systems — Kelley School of Business · BS, Informatics — Indiana University
Let's talk about decision products, learning software, workflow design, quality engineering, or turning a prototype into software people can actually use.
Portfolio & case studies