Powering the subscriptions infrastructure that drives revenue

Led the technical vision and implementation of solutions for an audio and

video transcription company, focusing on product design, client

engagement, roadmap development, and quality control. This involved

close collaboration with various teams and client communication.

Managed two Agile (Kanban) teams totaling up to 12 software engineers, focusing on

creating well-balanced and effective team structures.

Headed the web experience/growth team, improving Rev.com's interface

with technologies like React, Node.js, Contentful CMS, and Next.js, boosting web performance and conversion rates.

Launched and maintained media-related services like captions and subtitles,

contributing to multimillion-dollar annual revenues.

Acted as team lead on a high-performing pod during a period of rapid growth and organizational change, resulting in an expansion of the engineering department from fewer than 50 to over 120 developers.

Led the building and enhancement of new products like Auto-Transcription, a commoditized version of Rev's leading speech-to-text engine, and the MathElf iOS app for instantaneous tutoring, and Rev Live Captions application for Zoom. Used C#, JavaScript, React, Python, and Swift.

Monitored and increased critical operational metrics, such as reducing the time spent waiting for code review by 28% and reducing bug reports by 12%, through directed process alterations utilizing Agile principles, Continuous Integration/Continuous Deployment (CI/CD) methodologies, employing technologies such as Jira, Git, and Jenkins, and managing metrics such as code review time and bug report count.

• Built Grails web application and RESTful API to expose crucial performance metrics of Target's Hadoop big data cluster in a team using an Agile/Scrum methodology.

• Developed with JavaScript toolsets (jQuery, D3), Bootstrap, Solr, MySQL, Apache Tomcat and other technologies touching each layer of full-stack web development.

• Interfaced daily with a production-scale big data platform running MapReduce, Spark and Pig jobs.