Sasha Spala is a Senior Machine Learning Engineer with a decade of experience bridging computational linguistics, large-scale data curation, and product-focused model evaluation. With deep academic training and a PhD trajectory in computer science layered on an MS in Computational Linguistics, she designs reproducible dataset provenance and annotation pipelines that serve real customers and downstream UX constraints. At companies from Adobe to Pryon she led high-impact annotation programs, built tooling to detect annotator fatigue and guideline drift, and scaled data solutions for generative and document AI. Sasha is particularly skilled at translating evaluation methods from research settings into production contexts where user behavior and product design shape model risk. She advocates for ethical AI practices that center clear communication about model limits and fair treatment of human annotators, and outside of work she balances technical focus with triathlon training, sewing, and life with two cats.
10 years of coding experience
9 years of employment as a software developer
B.S. Computational Linguistics Minors: Computer Science East Asian Languages and Cultures (Chinese), B.S. Computational Linguistics Minors: Computer Science East Asian Languages and Cultures (Chinese) at University of Southern California
Linguistics Informatics, Linguistics Informatics at The University of Edinburgh
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Tufts University
Master of Science - MS Computational Linguistics, Master of Science - MS Computational Linguistics at Brandeis University
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