Expert engineering support for perception systems that need to perform in the real world
“The impact Ashton is having is incredible. Thanks to his work, we’re now able to run the system across multiple robots at once and it is genuinely meaningful for the program. He has earned the respect and gratitude of the entire team… Ashton built the capability that lets us move fast and stay reliable”
— Kimberly Elenberg, Applied AI Research Scientist at Carnegie Mellon University
Closing the gaps between prototypes, production, and long-term performance
Building a prototype is a short-lived milestone in the life of computer vision software.
The real engineering work starts when the system has to perform consistently on production software, operate within strict latency and memory targets, and remain maintainable as the product evolves.
And that’s often where promising projects lose momentum. Performance discrepancies become difficult to explain, hardware costs keep climbing, and code proves difficult to maintain. Your team ends up spending more time working through tech debt than improving the product itself.
I close that gap for you.
I help you build the software, tooling, and engineering infrastructure that sound production perception systems depend on. That may mean optimizing performance to meet hardware constraints, strengthening prototypes, testing validation and regression, and much more.
Solutions may vary but every partnership is focused on the same outcome: reliable software that performs predictably, survives the handoff, and continues delivering value long after deployment.
3 ways to work with me
Need an experienced engineering perspective before making a crucial technical decision? I provide architecture reviews, technical assessments, design guidance, and deployment planning to help you evaluate tradeoffs, identify unforeseen challenges, and determine the smartest path forward.
A short-term engagement to solve a specific, nagging computer vision problem with focused engineering expertise. This could be developing prototypes, improving performance in production environments, or retooling for more efficiency.
Tag me in for projects that require ongoing engineering, optimization, or technical leadership. I’ll work alongside your team through a flexible retainer engagement, providing consistent guidance and expertise as we refine your perception systems for stronger performance and sustainability.
how i work: evidence-based engineering, built to last
Most engineering problems have more than one possible answer. The challenge is determining which one makes the most sense for your system, hardware, goals, and budget.
That’s why every project starts with analysis, not assumptions. I work to understand exactly how your system behaves, where real constraints exist, and what the data proves so I can diagnose what you really need. It could be better algorithms, more efficient implementations, stronger profiling, or improved tooling.
If an off-the-shelf library will get the job done well, I’ll recommend it. If your existing architecture can be improved instead of replaced, we’ll start there. The engineering guides the recommendation, not the other way around.
The result is thoughtful, practical solutions that respect your budget, timeline, and the realities of production deployment.