Matthew Hendricks

Technical Product · AI Workflows · Devtools

Technical product leader for AI developer workflows, with regulated fintech PM experience and a hands-on portfolio of agent, queue, docs, and full-stack systems. For case studies and project details, see the Portfolio.

Contact

Email: matthew@westmark.dev · GitHub: @watthem · LinkedIn: matthew-hendricks

Core Skills

Professional Experience

Technical Consultant — Westmark.dev (Current)

Scoped consulting engagements and internal product systems across AI-assisted delivery, workflow-heavy MVPs, UX cleanup, documentation systems, and agent/tooling infrastructure.

Customer Engineer — Privacy Dynamics (Oct 2021–Sep 2022)

Built a documentation website, supported early-stage customers, troubleshot UX/QA issues.

Contract Technical Writer — Microsoft (Mar 2020–May 2020)

Converted Word/PDFs to internal wiki docs; collaborated with PMs/engineers; tracked work via Git/Markdown.

Business Analyst / Technical Writer — Premera Blue Cross (Apr 2019–Dec 2019)

Process analysis + documentation; Visio diagrams; SharePoint knowledge hub.

Technical Services Manager — Ookla (Speedtest.net) (Apr 2017–Dec 2018)

Managed team of 3 supporting ~1500 accounts; reduced response time; wrote developer-friendly web/networking docs.

Product Manager / Technical Support Lead — NinjaTrader (May 2010–Jan 2017)

Led support team of 15; maintained docs for ~40,000 users; contributed to C# debugging; translated customer workflow problems into product and documentation improvements.

What I Do Now

Product & Developer Workflows

Find the shortest path from loose idea to working artifact.

  • AI coding workflows: Human-reviewed agent loops, terminal ergonomics, and practical evaluation
  • Scoped MVPs: Delivery plans, workflow shaping, and bounded implementation
  • Async artifacts: Notes, specs, and handoffs people can actually use

See consulting →

Tools & Systems

Public proof through docs, tooling, and architecture work.

  • Git + Markdown: Contributor-friendly documentation pipelines
  • Replay and queue systems: Internal delivery tooling and debugging primitives
  • Open source: Libraries, docs hubs, and architecture notes that remain public

Docs hub →