Leadership
Building AI organizations that do good work
I help AI, perception, and Physical AI teams turn promising but messy opportunities into products people can count on. That means working across product strategy, team design, technical direction, and the habits that keep us close to customers as we learn.
What I lead
01
AI strategy and portfolio direction
Find the opportunities where ML can genuinely help, sequence the work, and make the tradeoffs easy for leaders to see.
02
Computer vision and perception
Guide perception systems from data and evaluation through product integration for inspection, robotics, and autonomy work.
03
Physical AI product delivery
Bring data collection, simulation, evaluation, field feedback, and deployment into one learning loop.
04
Team building and operating cadence
Hire and coach multidisciplinary teams, make ownership clear, and build a healthy rhythm for planning and learning.
05
Data, evaluation, and ML platforms
Build the foundations that help a team understand model behavior, run systems responsibly, and improve them over time.
06
Executive and customer alignment
Turn technical constraints into clear choices for customers and executives while keeping delivery teams close to the problem.
How I like to work
01
Start with the outcome
Start with the customer decision, the value it could create, and what it costs when we get it wrong.
02
Build the evidence loop
Treat data quality, representative evaluation, and feedback from the field as part of the product.
03
Organize around delivery
Give product, ML, platform, and domain partners clear ownership and a shared way to make decisions.
04
Release deliberately
Launch in a controlled way, keep people in the loop where it matters, and watch what the product does for customers.
05
Learn and communicate
Talk honestly about what we are seeing, adjust the roadmap, and help executives understand what comes next.
A few examples
Zeitview | Director of AI/ML
Building an applied AI organization
Establish an AI organization and operating model that could support multiple product verticals.
Grew the department from zero to 13 people and led AI product, engineering, perception, and autonomy strategy.
Created a multidisciplinary foundation for delivering AI capabilities across five business verticals.
Kespry and Zeitview | Computer Vision and ML Leadership
Turning inspection data into intelligence
Move computer vision work beyond prototypes and into inspection workflows with real delivery constraints.
Led ML platform and computer-vision development from roadmap through deployment, with attention to the data and evaluation systems around the models.
Built experience delivering inspection intelligence for residential and industrial use cases.
GammaEdge | Co-Founder
Scaling a real-time analytics product
Create and operate an analytics platform that customers could use at meaningful daily volume.
Co-founded the platform and grew the product alongside its technical and operational foundations.
Serves more than 200,000 daily requests.