Building AI-native operational tooling for construction and supply chain at Kaya AI. Previously: aviation analytics at NetJets, industrial ML at Rockwell Automation. NCAA Division I fencer at Ohio State.
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AI-native operational platform for construction and supply chain teams.
I lead development across the full stack — from customer-facing dashboards to the AI analyst layer underneath. Working directly with enterprise customers to translate fragmented workflows into structured data products.
Editable KPI dashboards, real-time data sync, and AI-powered workflow tooling for enterprise construction teams. Built for non-technical operators who need to own their data.
Conversational AI analyst over enterprise operational data — surfacing insights from fragmented construction workflows. Natural language to structured operational intelligence.
→ what I actually own
Tools, languages, and concepts I've worked with across roles, coursework, and projects — grouped by where they live. Familiarity ranges from daily drivers to tools used on specific projects.
NetJets
Surfaced data debt, query patterns, and never-queried assets across the entire Snowflake estate at one of the world's largest private aviation companies. Daily-refresh system — direct compute cost savings.
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Kalypso × Rockwell Automation
Designed a feature engineering pipeline supporting real-time model decisions in production manufacturing. Built to operate within the constraints of actual industrial automation — not a toy dataset.
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Ohio State Athletics
Operational dashboarding for Division I athletics ticketing. Translated raw event and sales data into demand signals stakeholders could actually act on. First analytics tool for a non-technical team.
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Systems Modeling
Formulated and solved an NFL schedule optimization problem with realistic constraints — travel distance, rest days, primetime slot allocation. Analyzed tradeoffs influencing win probability.
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A great feature built on a broken system is technical debt with a UI. I design for the whole — data models, state, API contracts, and UX together — because abstractions that don't compose eventually collapse.
My job isn't to build software. It's to make complex operations legible. If a stakeholder can't act on what I shipped, something failed upstream — in the design, the framing, or the data model.
The engineers who talk to customers write better code. I stay close to the problem by staying close to the people who have it. A single conversation often surfaces what months of spec work misses.
Working software in front of real users beats perfect software in a PR. Feedback is the spec. Speed is a feature. But you only earn the right to iterate fast by being honest about what you don't know.
Kaya AI
Building AI-native operational tooling for construction and supply chain teams. Leading development of Magellan (dashboarding + operational intelligence) and Amber (AI analyst over enterprise data). Direct enterprise customer work — from onboarding to deployment.
Kalypso × Rockwell Automation
Feature engineering pipeline supporting ML model development for real operational decision-making in manufacturing environments. Industrial automation at scale.
NetJets
Snowflake audit dashboard and usage transparency system for one of the world's largest private aviation companies. Surfaced data debt and query patterns across the entire Snowflake estate.
Ohio State Department of Athletics
Ticket traffic dashboard and stakeholder reporting for Division I NCAA athletics. First analytics tooling for a non-technical operations team.
B.S. Computer Science & Engineering — Artificial Intelligence
The Ohio State University
NCAA Division I Varsity Fencer
2022 — 2026
B.S. Data Analytics — Computational Analytics
The Ohio State University
2022 — 2026