Tom Shen is a senior software engineer with 12 years of experience building production-grade systems across web, search, and ML observability domains. Currently at Datadog, he focuses on making machine learning systems more reliable and understandable after nearly nine years of engineering at Palantir. His background spans full-stack work—from porting C++ backends to Python and modernizing JavaScript frontends to building Elasticsearch-backed search services and responsive mobile web experiences. He combines strong academic roots from Carnegie Mellon with hands-on research experience in machine learning and functional programming, which shows in his pragmatic, data-informed approach to engineering. Colleagues would note his knack for turning messy legacy code into modular, testable systems and for mentoring through teaching and interview experience.
12 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Carnegie Mellon University
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