Software Development Engineer
Current• Designed, prototyped, backtested, and productionalized a new, highly-explainable dependency usage forecasting model (+ pipeline) that helps AWS service owners to quantify, plan, and communicate their capacity needs to broader AWS for purposes of capacity planning, budgeting, controllership, and more using Python, Typescript, Docker, and numerous external and internal AWS services and tools.• Drove adoption of new languages, tools, and technologies to improve delivery speed, code correctness, modularity / re-use, and performance / scalability.• Ramped quickly into AWS Forecasting to perform gap analysis and contribute numerous APIs and webpages to support a new "what-if scenario" forecasting workflow application that provides service owners a high degree of visibility and a comprehensive set of adjustment features to easily explore and compare alternative forecasting scenarios. • Met directly with stakeholders, including customers, to learn about customers' needs and set project direction.