Brenda L. Smith

Brenda L. Smith

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Lead Data Scientist @ Best Egg 🥚 ex MSFT & AMZN
Florida, United States

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Résumé


Jobs verified_user 0% verified
  • Best Egg
    Lead Data Scientist - AI/ML Engineer
    Best Egg
    Sep 2024 - Oct 2025 (1 year 2 months)
  • Burns  McDonnell
    Senior Data Engineer
    Burns McDonnell
    Apr 2024 - Jul 2024 (4 months)
  • The University of Texas at Austin
    Graduate Learning Facilitator
    The University of Texas at Austin
    Jan 2024 - Apr 2024 (4 months)
  • Propenseai
    Data Scientist
    Propenseai
    May 2023 - Aug 2023 (4 months)
  • N
    Quantitative Investments & Data Science Intern
    Nexus Equities
    Mar 2023 - May 2023 (3 months)
  • Amazon
    Software Development Engineer
    Amazon
    Oct 2018 - Jan 2021 (2 years 4 months)
    EC2 Core Provisioning • Implemented a system which managed network policy during EC2 server provisioning as part of our team’s new microservice architecture. As part of this work, I relocated to Dublin for several weeks in order to work closely with the AWS Networking team. EC2 Host Lifecycle Management • Owned the service which quarantines unhealthy hosts and drains customer instances from them so that they can be investigated, reprovisioned, or retired. This work was critical to recovering unsellable assets and the monthly rate of unsellable was reduced by hundreds of thousands of dollars during my time on the team. • Created a data lake for the broader org using AWS Lake Formation and Spark jobs for ingestion. This enabled a vast impr
  • Microsoft
    Software Development Engineer
    Microsoft
    Aug 2016 - Oct 2018 (2 years 3 months)
    Azure IoT Central – Insights and Analytics • Designed and developed a distributed tracing system to allow historical query and pub/sub of control plane events. This enabled work on key scenarios such as user activity auditing, replay analysis, and application-scope notifications. • Helped implement Disaster Recovery procedures and infrastructure for a primary service dependency (TSI). Worked with the TSI team to simulate outages and validate the service recovery. HDInsight – Control Plane • Joined a small v-team from Cosmos DB which redesigned the control plane of HDInsight in order to support the creation of flexible cluster shapes. This was a top customer ask, and our work closed the feature gap with our primary competitors in addition
  • The Apache Software Foundation
    Contributor
    The Apache Software Foundation
    Aug 2016 - Oct 2018 (2 years 3 months)
  • T
    The Related Group
    Jul 2016 - Dec 2025 (9 years 6 months)
  • Hudl
    Design Studio Software Developer
    Hudl
    Sep 2015 - May 2016 (9 months)
    Collaborated with a team of data scientists to develop a temporal convolutional neural network which automatically detected basketball highlights from user- uploaded video. Collected metrics such as engagement, bounce rate, stickiness, and view count using continuous A/B testing to iterate on the model effectiveness
  • Microsoft
    Software Development Engineer Intern
    Microsoft
    May 2015 - Aug 2015 (4 months)
    Leveraged Hadoop on cloud computing clusters to distribute terabytes of virtual hard disks to regional mirrors quickly and reliably as part of a production build process Optimized network throughput of blob storage by altering Hadoop configurations, cluster hardware utilization, and Azure storage configurations Created tools to visualize the performance characteristics of a MapReduce job, in order to provide value to other developers and HDInsight customers
  • Hudl
    Software Developer Intern
    Hudl
    May 2014 - Aug 2014 (4 months)
    Extended the architecture of custom JWPlayer wrappers and plugins to add multiple core functionalities to Hudl’s new HTML5 video player Worked closely with our designer and directed the responsibilities of two other developer interns to implement a major annotation feature for coaches Assisted in the management of sprints and releases to facilitate the smooth rollout of the video player as a default replacement to the existing solution
  • Garmin International
    Software Engineer Intern
    Garmin International
    May 2013 - Aug 2013 (4 months)
    Created module and system tests to verify FAA requirements of a force-feedback trim servo used for control and stability augmentation of helicopter flight control systems
  • CERNER CORPORATION
    High School Seasonal Intern
    CERNER CORPORATION
    May 2012 - Aug 2012 (4 months)
    Designed and created a distributed system to collect and parse various automated tests results, crash and error reports, and defect statuses. Created a web dashboard to graph, analyze, and present the details of this information in real-time to allow developers to quickly locate problems.
  • CERNER CORPORATION
    Cerner Scholar
    CERNER CORPORATION
    Aug 2011 - May 2012 (10 months)
  • A
    A1 Frameless Shower Enclosures
    Aug 2008 - Jul 2016 (8 years)
Education verified_user 0% verified
  • The University of Texas at Austin
    Master of Science - MS, Data Science
    The University of Texas at Austin
    Jan 2022 - Dec 2024 (3 years)
    • Completed Coursework: Deep Learning, Natural Language Processing, Machine Learning, Data Exploration & Visualization, Probability & Statistics, Causal Inference, Reinforcement Learning • Created deep neural networks from scratch using PyTorch as the vision system for a racing simulator. Implemented networks for object detection, keypoint estimation, semantic segmentation, and multi-action networks for the car to drive autonomously. • Created neural networks for many Natural Languarge Processing applications such as as Semantic Parsing & Labelling, Sentiment Analysis, and Language Generation
  • University of NebraskaLincoln
    Bachelor of Science - BS, Computer Science
    University of NebraskaLincoln
    Jan 2012 - Dec 2016 (5 years)
    Jeffrey S. Raikes School of Computer Science and Management Minors: Mathematics, Business Management