Summary
David Plotz is an Information Technology Specialist based in Berkeley with 12 years of experience building production ML systems and full-stack software. He combines a strong mathematical background (BS/MS in Physics and an MS in Statistics) with practical expertise in NLP, deploying solutions using Python, PyTorch, Scikit-learn, Flask, MongoDB and ElasticSearch. As a former software engineering lead and co-founder, he has shipped scalable data pipelines, production REST APIs and consumer apps while managing small teams and ensuring reproducibility of results. His applied research work spans classical methods (SVD/LSA, PCA, spectral clustering) to character-level RNNs and GRUs, reflecting a knack for matching algorithmic rigor to business needs. Notably, he has moved legacy research code into maintainable Python and implemented Hadoop-processing prototypes, showing attention to both research correctness and production readiness.
12 years of coding experience
9 years of employment as a software developer
Masters Statistics, Masters Statistics at California State University - East Bay
BS and Masters Physics, BS and Masters Physics at Hunter College, The City University of New York
English, Chinese