I lead the development of UI tools for metrics and visualizations in the Perception organization within Aurora, empowering Machine Learning engineers to fine tune their AI models.

Hoping to contribute to ending the individual car ownership culture via cheap, safe, practical and on-demand public transportation via autonomous vehicles solutions.

Leading UI at the Recommendations Machine Learning and Feed & Stories Content Classification teams.

I work with engineers and data scientists to build and improve cutting edge AI internal tools and infra to improve Facebook's content classifications, recommendations and user understanding.

I'm currently responsible for the vision and project management of internal tools for the Recommendations ML Infra team, leading projects, frontend coding, and helping other engineers become proficient with React and Javascript.

Helped re-build LinkedIn's Help Center (https://www.linkedin.com/help/linkedin/). Helped design and fully developed the frontend for our new user identity verification service, using functional reactive Javascript.

I streamlined the frontend of Linkedin's internal tool for ad management, significantly speeding up ad reviews, significantly impacting company revenue. Assumed leadership of all UI aspects of our internal tool for member support and management, coordinating with teams across the company.

Recently, my work evolves around developing and expanding our Help Center User Forum.

Helping build the next generation responsive LinkedIn Help Center using the Play Framework, Java, Scala, JavaScript, functional reactive programming and Dust.js.

Maintaining legacy code in PHP.

Co-founder, full stack developer, designer, and much more. Using Ember.js, Node.js, MongoDB, Javascript, HTML5, Twitter Bootstrap, CSS3.