Amir Bakarov is a Senior Machine Learning Engineer and NLP specialist with a PhD in Computational Linguistics and seven years of industry experience building production-grade models for voice assistants, compliance monitoring, and customer experience. He designed and deployed core text-classification engines and LLM pipelines—owning experiment tracking, CI/CD for models, and data-annotation workflows—at companies including Behavox, Huawei, Clarity, and Vivun. His work spans research and engineering: published multilingual NLP and plagiarism-detection research, led zero-shot learning and data-augmentation R&D, and fine-tuned large language models for actionable product insights. Fluent across academic and product settings, he consistently bridges rigorous evaluation with production constraints in regulated domains like finance and compliance. Colleagues rely on him to turn hard NLP problems into auditable, deployable systems that surface real business value. Less obvious: he pairs deep academic credentials with hands-on LLOps expertise, enabling fast iteration from paper to pipeline.
7 years of coding experience
7 years of employment as a software developer
Master, Computational Linguistics, 9/10, Master, Computational Linguistics, 9/10 at National Research University Higher School of Economics
Bachelor, Computer Science, 4.3/5.0, Bachelor, Computer Science, 4.3/5.0 at Novosibirsk State University
Contributions:14 reviews, 10 PRs, 85 pushes in 9 months
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Amir Bakarov - Senior Machine Learning Engineer at Vivun