How We Operate
We leverage Google's advanced suite of Machine Learning tools to solve difficult analytical and technical challenges at-scale.
AutoML allows the quick and efficient training of models based on visual data. State of the art transfer learning and Neural Architecture search provide highly accurate results. Usage of the latest data sets provide industry leading performance.
Google Cloud Platform
Build What's Next. Better software. Faster. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. Using the power of Google's Cloud Machine Learning services, Optfit can help your company develop robust Machine Learning solutions to meet your organizational needs.
Employ infrastructure automation with our GCP experts at Optfit. Spin-up servers automation for faster Time-To-Live and reduced ops and infrastructure costs.
The Optfit Team
We're led by a team of data scientists and machine learning engineers with deep experience across disciplines and that pioneer the industry and solve problems at scale.
Barton has worked as a data scientist and machine learning engineer across a variety of industries and problem scales. His focus is on applying machine learning to natural language processing and cybersecurity. Barton is passionate about turning ML models into scalable products and democratizing AI. When not hacking, he is helping organize Denver Machine Learning Group with the goal of elevating the practice in Denver/Boulder region and beyond.
Chris brings a rich history as a data analyst for agencies, mobile app studios, and massive online games. His focus on client value has supported a six-year partnership and driven more than $10m in client revenue. When not glued to a computer, Chris loves biking through the Cuyahoga Valley and binge-watching Netflix.
Director of ML Infrastructure
Dustin has managed infrastructure for both large enterprises and small businesses. With an expansive knowledge of systems administration and the power of the cloud he is ready to conquer the world.
Director of ML Engineering
Tim has worked on machine learning projects across several domains. His specialization is applying machine learning techniques to natural language classification and cybersecurity problems. When not working, Tim enjoys experimenting in the kitchen and hiking.
ML Engineer/NLP Project Lead
ML Consultant/Toolkit Project Lead