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David Valkenaar

Engineering portfolio.

Versatile engineering across physical, digital, and intelligent systems—with the ability to carry difficult projects from research through working implementation.

My work spans physical products, software, automation, robotics, AI-assisted development, and the operational systems that connect them. I specialize in learning unfamiliar domains, identifying missing capabilities, and building practical tools that move work forward.

One practice, across many kinds of systems.

The capability areas come first. Open the related work beneath each one to see the projects that support it. Professional cases are described with confidential information removed.

01

Digital Product Engineering

Turning a real need into a coherent software product—from product definition and interaction design through implementation, testing, release, and support.

Related work and evidence

TaskScience App

A calendar-native Android product that connects planned work with an honest record of time spent.

View the product
02

Robotics and Intelligent Tooling

Combining mechanical systems, sensing, vision, and control to make sophisticated equipment more useful to the people running experiments.

Related work and evidence

Vision-guided robotic tooling at SLAC

Laboratory tooling that advanced experiments by allowing robotic arms to respond to visual commands from an arm-mounted camera, with practical AI work that predates today’s generation of AI tools.

03

Physical Automation and Mechatronics

Designing mechanisms, electronics, controls, and feedback into physical systems that operate more consistently with less manual attention.

Related work and evidence

Wood stove automation

A practical sensing-and-control system developed around heat, airflow, safety, and the imperfect behavior of a real physical process.

Automatic fish feeder

A compact earlier prototype connecting mechanism design, timing, and dependable dispensing.

04

Workflow and Operational Systems

Identifying operational tools that do not yet exist, then building them to remove friction from complex, traceable work.

Related work and evidence

Manufacturing work-instruction systems

Structures for turning dense manufacturing knowledge into clearer, testable instructions for real work.

Metrology scheduling

Systems for coordinating equipment, constraints, priorities, and traceable workflows in a demanding engineering environment.

05

AI-Assisted Workflow Engineering

Using advanced AI tools as an engineering environment: orchestrating work, preserving context, automating repeatable steps, and increasing development throughput.

Related work and evidence

Jarvis and the broader AI toolchain

A working orchestration and context system for coordinating agents, tools, handoffs, evidence, and long-running technical work.

06

Platform Extensions and Integrations

Finding a missing capability in an established tool and adding it without asking the user to abandon the platform they already rely on.

Related work and evidence

Google Tasks List Toggle

A deliberately small extension that makes a frequently needed list-control action available where users expect it.

Google Maps overlay

An Android overlay that adds useful navigation information while respecting the interaction and visual behavior of Google Maps.

07

Integrated Physical Systems

Researching, designing, installing, and troubleshooting interdependent systems under real constraints—and sustaining the work until the whole system functions together.

Related work and evidence

Integrated van systems

Electrical, mechanical, spatial, and supporting subsystems brought together through constrained-space design, electronics, research, troubleshooting, and long-horizon execution.

From unfamiliar problem to working implementation.

Full case studies will show the problem, constraints, decisions, implementation, testing, and outcome—not just a finished artifact.

  1. 01Research

    Learn the domain, user, environment, and constraints.

  2. 02Frame

    Identify the missing capability and the smallest useful path.

  3. 03Implement

    Build across the physical, digital, or operational layers required.

  4. 04Prove

    Test in context, correct assumptions, and leave a dependable result.

Earlier engineering builds.

  • Pelton wheel
  • Battery tester
  • Canoe
  • Multi-perspective inspection robot
  • Automatic fish feeder
  • Other prototypes

Interested in the work or how it was built?

Detailed case studies and a reviewed résumé are in preparation.

Email Hominocentra Systems