Welcome Omar and Kenyon!

We’re thrilled to welcome two new members to the AdeptID team. As we build technology to identify transferable skills in all workers and make our economy more inclusive, we’ll need a technical team that reflects our ideals. We’re really excited to have found Omar and Kenyon, and that they’ve agreed to join our mission!

Omar Zaffar was a family business owner studying Chemistry before he transitioned to Data Science via Lambda school’s training program. Recently, he worked on a complex project using state-of-the-art machine learning libraries and data from the last 50 years of F1 racing to predict whether a driver in F1 would finish in the top 3, top 10 or out of the points (bottom 10). He’s also worked with Family Promise, where he built an API for the intake manager to predict whether a homeless family is likely to come back to the shelter and which areas need the most attention to lead them to a permanent residence. 

In his free time, you’ll find him working on his race car or trying something new he hasn’t done before.

Kenyon Allan is a computer scientist devoted to bringing accuracy and quality to products he works on. Previously a student in Mechanical Engineering and now working in both Physics and Computer Science, Kenyon has worked on projects ranging from cybersecurity networking applications to rocketry for NASA competitions. He developed internal testing and quality of life features for employees at Symantec, and worked with flight data and wiring models at Collins Aerospace. He’s joined AdeptID as part of Northeastern’s amazing Coop program.

When not working on testing or school, he can be found doing runs around Boston or practicing for his amateur Heroes of the Storm team.