About

Anthony Abercrombie is a Senior Software Engineer, Data at bitly with over 5 years of relevant experience in Software Engineering, Machine Learning, Data Science, Remote Sensing, and Geospatial Analytics. He has a Master of Science (M.S.) degree in Data Science from the University of New Haven and a Bachelor of Arts (B.A.) degree in Environmental Studies from Carleton College. At bitly, Anthony is responsible for designing and developing scalable infrastructure for Planet's summary statistics API, which allows users to query time series data of land cover change for any geographic area, regardless of size or extent, in less than 5 seconds. He has also implemented raster caching strategies to make road and building change detection scalable and feasible, cutting the cost of a one-year run over the US from $20k to $3.5k. Additionally, he is an on-call engineer responsible for monitoring and servicing production systems that deliver analytic data to customers. In his previous role as a Software Engineer at Planet, Anthony developed and maintained data pipelines that processed and aggregated millions of daily usage events using Google Pub/Sub, BigQuery, Apache Beam, and Dataflow. He also contributed to and maintained production quota enforcement API services written in Golang and deployed on Google Kubernetes Engine. As an on-call engineer, he expanded on logging, monitoring, alerting, and telemetry systems to ensure site reliability. As a Senior Data Scientist at Insight Softmax Consulting, LLC, Anthony developed a forecasting solution for BMW that predicts EV energy demand across a network of charging stations and simulates vehicle conversion for capacity planning. He also developed anomaly detection solutions for Zaro Transportation to manage their supply chain in real-time and is currently developing a recommendation engine for CrestTec Engineering that helps their customers streamline semiconductor component subscriptions and schedule predictive maintenance routines. Anthony's tech stack includes Software Engineering, Data Science, Machine Learning, Infrastructure, SRE, Golang, Kubernetes, and Research Science. He is a highly skilled and experienced professional who is passionate about using his skills to solve complex problems and drive business value.