Jeremy Singh is a data analyst and machine learning engineer with eight years of technical experience, blending applied research and production-focused deployment. With an MS in Computer Science (Machine Learning) from UMBC, he has built TensorFlow models for NOAA, presented complex data findings to interdisciplinary teams, and leverages strong skills in algorithm development, data visualization, and model precision. He’s transitioned across roles from system administration—where he led enterprise migrations and hardware/software reliability—to hands-on ML engineering, giving him a pragmatic view of end-to-end pipelines. Based in Baltimore, Jeremy is actively seeking machine learning roles where he can turn experimental models into reliable, deployable solutions and drive AI impact within collaborative teams. An underappreciated strength is his blend of research rigor and operational discipline, enabling both novel modeling and stable production delivery.
8 years of coding experience
2 years of employment as a software developer
UMBC
High School, High School at Mount Saint Joseph High School
Contributions:80 commits, 79 pushes, 8 branches in 2 months
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