Brian Martin is a Senior Software Engineer with 13 years of experience building data-centric systems and ML infrastructure, currently driving code generation and agentic tooling for Bloomberg's ASKB. He has led ML platform teams at Spotify—managing inference, orchestration, feature engineering and observability for models serving hundreds of millions of users—and previously scaled platform and data infrastructure through hyper-growth at Opendoor. Comfortable moving between hands-on backend work and people leadership, he combines probabilistic modeling roots (contributions to the FACTORIE Scala toolkit and early NLP research) with practical production engineering. Based in New York, he focuses on making teams more productive through tooling and automation, and brings a track record of turning research-grade algorithms into deployable systems.
13 years of coding experience
13 years of employment as a software developer
New York University
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at University of Massachusetts Amherst
BA Computer Science Chinese, BA Computer Science Chinese at Hampshire College
HS, HS at Illinois Mathematics and Science Academy
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
Role in this project:
Back-end Developer
Contributions:151 commits in 8 months
Contributions summary:Brian's commits primarily focus on modifying and extending the functionality of the FACTORIE toolkit, a Scala-based library for probabilistic modeling. These changes include integrating the toolkit with Scala 2.10.0, modifying and refactoring code related to core aspects of the toolkit, and integrating Viterbi algorithm into the library. The commits show an effort to optimize and refine the performance of core algorithms related to inference.
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Brian Martin - Senior Software Engineer at Bloomberg