Personal 3D CAD Application Research
Personal research project: a browser-based 3D CAD system where engineers author models in JavaScript with live preview. Exploring how mechanical design tooling can grow in this latest age.
Deeper write-ups, project summaries, and architecture diagrams — including NDA work for Microsoft, Echo Global Logistics, and Amazon — are collected on the AI / LLM / GenAI Work page.
Personal research project: a browser-based 3D CAD system where engineers author models in JavaScript with live preview. Exploring how mechanical design tooling can grow in this latest age.
Global postal-code validation and enrichment API covering 246 countries + territories (1M+ postal codes) at sub-5ms response. Built agent-native from day one — first-party Python, Node, and MCP SDKs, OpenAPI 3.0, and llms.txt for direct AI-agent consumption. Self-hosted Node 22 / Next.js 15 API surface with in-memory cache; Vercel for marketing, dashboard, OAuth, and Stripe webhooks; Neon PostgreSQL with Drizzle ORM. Transparent single-tier pricing at $0.000028/query. Founder & Owner. postaldatapi.com
Functional-mushroom coffee and cacao D2C brand based in Boise, Idaho. Webmaster and Technical Consultant since December 2025, where I built and maintain the full Next.js e-commerce stack on Vercel — Square (payments, orders, inventory), Shippo (real-time shipping), Resend (transactional email), and Printful (print-on-demand merch) — plus a founder-facing admin surface for promotions, content, and inventory. I also advise on unit economics and channel strategy beyond engineering. fungaiacoffeeco.com
Current arc — AI Product Line (July 2026 – present): Technical lead and architect of Unify's AI product line. Architected and built an AI platform for B2B sellers that reads live CRM data to surface deal health, pipeline risk, meeting preparation, and AI-generated account research, and carried it from prototype through internal beta to production readiness behind corporate single sign-on, with promotion to production underway. Its AI layer is a set of specialist agents with tool access, grounded in Salesforce through the Model Context Protocol, with per-user spend limits and no AI credentials in the application. Wrote the AI governance framework that maps each guardrail to the test, log, or configuration that proves it, and built its path through development, test, and production on Azure with the corporate cloud team (Terraform, managed identities, Key Vault). Also built a business-development suite and an interactive AI-enablement course, unified under one design system measured to WCAG 2.2 AA, and backed by several thousand automated tests. Delivery is led as an architect directing AI coding agents, with written plans, review gates, and change control.
Prior arc — Microsoft ABM AI team (November 2025 – June 2026): Partnered with the Microsoft Account-Based Marketing AI team on the analytics layer for Microsoft's account-based seller recommendation engine. Built reusable analytical infrastructure: Spark/PySpark notebooks against the recommendation-outcomes Delta lakehouse, a curated knowledge base of data snapshots and business references that compounded across sprints, and a self-contained Microsoft Fabric reporting tool that classified free-text seller dispositions against a canonical taxonomy via Fabric AI Functions (gpt-4.1-mini) over millions of rows.
Founded and grew a worldwide mentoring community to 65K+ followers through technical and mentoring blog posts, bi-weekly tech chats where I helped data scientists work through detailed technical questions, frequent keynote talks, and ML book reviews for Packt. Starting data science communities inside the companies I've worked for is a pattern, not an accident.
Sales reps were receiving 30,000+ single-shipment quote requests per day via email — not managed accounts, so each request consumed sales-rep time for little profit. The software dev team was not available for front-end work, so I developed the full stack: an Outlook Add-In LLM-based AI Web App. Quote-request handling dropped from 5+ minutes to 15 seconds. Meaningful margin recovery for the company and compensation lift for the reps in the field.
ON Semiconductor's wafer-level vision test for digital-camera imaging die took 2+ person-weeks per tuning to identify subtle defects other tests missed. After tenured teammates said it couldn't be automated, I built it on my own time in the evenings. Three months later: x/y pixel positions as features, grayscale values as labels, 5th-order feature engineering for a fit that wasn't overfit, statistical-band clustering for pass/fail. The application graded better than I did manually.
Texas A&M University, August 1997. Multi-physics modeling and design methodologies for hybrid vehicle power plants using bond-graph methods. Modular component models (engines, induction motors, batteries, thermal-fluid subsystems), series / parallel / complex hybrid architecture exploration, and critical-design-parameter identification. Chair: Dr. T. R. Lalk. Download PDF · Read summary & figures
Texas A&M University, May 1995. A robot calibration methodology that avoids matrix scaling by restructuring the calibration equations to produce well-conditioned matrices from the start. Validated with simulated data and real-robot measurements. Three peer-reviewed IEEE publications followed. Calibration work also fed NASA experiments for Space Shuttle Robot Arm operations. Advisor: Dr. Louis J. Everett. Download PDF · Read summary
Named inventor on 26 issued US Patents across 16+ years at HP (1998–2014). Patent areas span electromechanical packaging, micro-electro-mechanical systems (MEMS) design, color imaging, laser cartridge mechanics, and disk array storage systems. Patents are searchable via USPTO inventor lookup.
Plus: author of two HP Technical Conference papers and presenter at an HP Technical Conference.