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.

PostalDataPI

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

Fungaia Coffee Company

Functional-mushroom coffee and cacao D2C brand based in Boise, Idaho. As Director of Technology and part owner, I own 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) — and advise on unit economics and channel strategy beyond engineering. fungaiacoffeeco.com

Senior AI Consultant at Unify Consulting — Microsoft ABM AI team (current)

Partnering with the Microsoft Account-Based Marketing AI team on the analytics layer for Microsoft's account-based seller recommendation engine. Building reusable analytical infrastructure: Spark/PySpark notebooks against the recommendation-outcomes Delta lakehouse, a curated knowledge base of data snapshots and business references that compounds across sprints, and a self-contained Microsoft Fabric reporting tool that classifies free-text seller dispositions against a canonical taxonomy via Fabric AI Functions (gpt-4.1-mini) over millions of rows. Developed and documented a local-first / Fabric-validated working pattern to keep iteration speed high without sacrificing production rigor.

Integrated Machine Learning & AI (2018–2022) — Founder

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.

Echo Global Logistics — Outlook AI Add-In for single-shipment quotes (Senior Data Scientist)

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 — autonomous wafer-level vision-test automation (2016)

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.

Ph.D. Dissertation — Methodologies for the Design and Modeling of Hybrid Vehicle Power Plants

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

M.S. Thesis — Robot Calibration Without Scaling

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

26 US Patents at Hewlett-Packard

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.

Peer-reviewed publications

• T. Pawar, L. Stauffer, D. Abramsohn, T. Ives. “Analysis of the Toner Charging Process in a Single Component Non-magnetic Development System.” Journal of Imaging Science and Technology, June 2014.
• H. Ren, L. Stauffer, T. Ives, S. Rodriguez (Hewlett-Packard Company USA). “Simulating Motion of Toner Using the Discrete Element Method.” NIP 23 — 23rd International Conference on Digital Printing Technologies.
• L. J. Everett, T. W. Ives. “A sensor used for measurements in the calibration of production robots.” IEEE Transactions on Robotics and Automation, 12(1): 121–125 (1996).
• L. J. Everett, T. W. Ives. “Automatic maintenance of robot programs.” IEEE Transactions on Robotics and Automation, 11(4): 603–606 (1995).
• L. J. Everett, T. W. Ives. “A Sensor Used for Measurements in the Calibration of Production Robots.” IEEE International Conference on Robotics and Automation (ICRA), vol. 1: 174–179 (1993).

Plus: author of two HP Technical Conference papers and presenter at an HP Technical Conference.

Adjunct & Visiting Teaching

• Boise State University — Adjunct Professor of Control Systems Design, 5 semesters (1998–2002), concurrent with the HP R&D tenure.
• University of Idaho (Boise campus) — Visiting Professor, co-taught Design of Experiments with Larry Stauffer (2004).
• Mentored three Ph.D. graduate students at HP on data science methods; served on their committees.

Methodology & Facilitation

• Six Thinking Hats — certified to teach others these methods (Edward de Bono facilitation methodology). Applied across two decades of leading engineering teams in creative problem-solving and design methodology.
• Microsoft Certified Data Scientist (November 2018).
• Lean Six Sigma — expertise applied to product engineering and team leadership at HP.

Speaking & Community

• MKAI AI Technical Forum (April 2021) — speaker on machine-learning methodologies.
• “Pushing Boulders Uphill” — invited talks on innovating in companies (2013/2016 era).
• Featured podcast and journal interviews on machine-learning practice, building portfolios, and storytelling for data scientists.
• Originated HP's site-wide technical training program using online videos.