Summary
Steven Tang is a software engineer based in Denver with 11 years of experience focused on backend systems, scalable architectures, and big data processing. He has built production navigation and telemetry services that handle millions of daily requests, improved throughput dramatically through serialization and refactoring, and designed automation and performance tooling across teams. At MapQuest and LogRhythm he delivered measurable latency and MPS gains, and at Raytheon he led a large-scale refactor of legacy scripts to Python while mentoring peers. Currently at Attentive, he continues to apply pragmatic engineering to high-throughput services and feature-driven development. He pairs a strong foundations in computer science (BS, CU Boulder) with hands-on experience across the full software lifecycle, from greenfield APIs to mature legacy systems. Colleagues find him comfortable working on both critical production issues and exploratory ML/big-data projects, bringing a bias for measurable impact.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.6, Bachelor of Science - BS, Computer Science, 3.6 at University of Colorado Boulder