Experienced engineer, turned data scientist, turned back to engineer, and then organization leader. Lifetime learner, self-starter. I've designed and implemented deep neural networks, spatial data structures, web apps, GIS systems, computer programming languages, compilers, garbage collectors, query languages, and large and fast data processing pipelines: whatever the situation required. I love challenging problems that are right on the edge of possible. Now I design organizational conditions and processes that help others do the same.
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Principal Data ScientistCloud CapitalWashington, Dc, Us -
Principal Data ScientistStealth Startup Jun 2024 - PresentBaltimore, Maryland, United States -
Director Software EngineeringOptimizely Nov 2023 - Jun 2024I directly lead our Platform Stability team. I also indirectly lead our Experimentation Program Management team. These teams comprise some of the organization's most talented, bold, and growthful engineers. The degrees to which I can enable and accelerate these engineers will mark my most significant career accomplishments. -
Lead Technical ArchitectOptimizely Jan 2023 - Jun 2024I’m honored to lead the technical architecture and opportunity exploration efforts for the Optimizely experimentation product. I also lead Optimizely’s organization-wide AI initiatives. -
Principal Software EngineerOptimizely Dec 2021 - Jan 2023I'm privileged to work with the wonderful, talented team of engineers that is making the Optimizely Data Platform the best CDP for digital transformation in the market. -
Principal Data ScientistOptimizely Mar 2021 - Dec 2021Hired through the acquisition of Zaius. I am the architecture lead for the CDP team whose current focus is real time behavioral segmentation using a technology that I initially proposed and prototyped. -
Principal Data ScientistZaius Jun 2018 - Mar 2021Developed key pieces of infrastructure to support large scale model training and deployment to serve our diverse client base. Led a team that developed industry leading models that produce insights that our clients use to execute more relevant, timely, personalized marketing campaigns. Regularly solved engineering challenges related to the speed and scale of our ML throughput. Solved model / feature development challenges with multi-domain inputs and client specific schemas. Designed analysis and experiments to verify data-science driven intervention strategies we provide for our clients. -
Director Product DevelopmentProduct Lab, Llc Jul 2016 - Jun 2018Washington D.C. Metro AreaLed the engineering team behind a large scale social media analytics platform built on flink, hbase, kafka, and ruby-on-rails. Designed natural language and image recognition deep neural networks to aid analysts in annotating data in the platform. -
Senior StaffThe Johns Hopkins University Applied Physics Laboratory May 2006 - Jul 2016Washington D.C. Metro Area* Section SupervisorHiring manager and direct supervisor for a small team of technical professionals working throughout the organization.* Design LeadDesigned and facilitated opportunity exploration workshops internally and with our Navy sponsors. The outcome of these events was often organically sourced, actionable and innovative ideas that rapidly gained senior decision maker buy-in.* Technical LeadDesigned algorithms to solve previously unsolved problems and built and led a skilled technical team to transform those algorithms into real value to our sponsors.
Brian Taylor Education Details
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Computer Engineering -
Engineering Physics/Applied Physics -
Engineering Physics/Applied Physics -
Masters Of Physics
Frequently Asked Questions about Brian Taylor
What company does Brian Taylor work for?
Brian Taylor works for Cloud Capital
What is Brian Taylor's role at the current company?
Brian Taylor's current role is Principal Data Scientist.
What schools did Brian Taylor attend?
Brian Taylor attended Letourneau University, Johns Hopkins Whiting School Of Engineering, Johns Hopkins Whiting School Of Engineering, The Johns Hopkins University.
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