Summary
Darya Pashuto is a Staff Software Engineer in Vancouver with 11+ years of experience building production ML and NLP systems and leading cross-functional teams. She has repeatedly moved research into reliable product infrastructure—designing self-serve ML platforms, scalable NLU inference backends, and data storage to empower non-ML practitioners. Her work spans the full ML lifecycle from ASR and named-entity linking to evaluation frameworks and observability, with measurable wins like a 10% F1 boost on entity linking and 6–8x latency reductions. Darya combines hands-on model work (PyTorch, Transformers, ONNX) with systems design (Kubernetes, FastAPI, Postgres) and strong MLOps practice (Kubeflow, testing suites). An uncommon strength is her focus on operational safety and privacy—she has documented ML data flows and partnered with security to harden data usage. She mentors hires and shapes hiring processes, blending technical depth with organizational leadership.
11 years of coding experience
11 years of employment as a software developer
Master's degree Computational Linguistics, Master's degree Computational Linguistics at Higher School of Economics
Master's degree Linguistics, Master's degree Linguistics at Moscow State Linguistic University
Latin, English, German, French, Russian