Tracy Rohlin is a Senior Machine Learning Engineer based in San Jose with 11 years of experience building production AI systems and NLP pipelines. She has advanced expertise in deploying invoice-level NLP models, ETL orchestration with Dask and Kubernetes, and model lifecycle management using MLFlow from her work at AppZen and now Procore. Her background blends computational linguistics (MS) and linguistics (MA) with hands-on research experience at Amazon Lab126 and Amazon, where she improved low-resource phoneme accuracy via multilingual encoder-decoder models. Tracy’s work sits at the intersection of applied research and scalable engineering—she routinely converts linguistic insight into robust, containerized ML services for enterprise workflows. An uncommon strength is her early career as a sign language interpreter, which informs a practical, human-centered approach to language technologies.
11 years of coding experience
8 years of employment as a software developer
Master of Science (MS) Computational Linguistics, Master of Science (MS) Computational Linguistics at University of Washington
Certificate Data Mining, Certificate Data Mining at UCSD
Bachelor's of Science ASL-English Interpretation, Bachelor's of Science ASL-English Interpretation at Rochester Institute of Technology
Russian Language and Literature, Russian Language and Literature at · Studied abroad at the Liden-Denz School in Saint
Master of Arts (M.A.) Linguistics, Master of Arts (M.A.) Linguistics at San José State University
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