Anna Stakhovskaia

Angestellt, Senior Machine Learning Engineer, Toloka / Nebius
Berlin, Germany

Skills

Machine Learning
Python
vLLM
PyTorch
PySpark
Databricks
Recommender Systems
Recommendation Systems
Generative AI
Large Language Models
Deep Learning
TensorFlow
Python pandas
NumPy
Team work
Software Development
Microsoft Azure
MLflow

Timeline

Professional experience for Anna Stakhovskaia

  • Current 4 years and 9 months, since Aug 2021

    Senior Machine Learning Engineer

    Toloka / Nebius

    GenAI & LLMs Services: Built hybrid data annotation pipelines (PyTorch), cutting costs 30-60%. Automated ML pipelines (Kubernetes, Docker), reducing deployment time 2×. Developed a FastAPI + vLLM server for real-time inference, speeding up experiments 50%. Set up Databricks & Airflow, built monitoring & cost tracking, cutting LLM expenses 65%. Recommender System: Improved ranking metrics 18%. Led 6 ML engineers, migrated system to Azure, ran A/B tests, and optimized processing, boosting reliability 40%.

  • 5 years and 10 months, Nov 2015 - Aug 2021

    Frontend Developer / Team Lead

    Yandex

    Task Tracking (Yandex Tracker): Led a 12-person dev team, handling hiring, mentoring & performance reviews. Managed full app refactoring, transitioning from a proprietary framework to React, enabling a B2B relaunch & 30% sales growth. HR Tech Platform: Built a full-stack recruitment system (Node.js, React). Designed APIs & server components, optimized client performance (Lighthouse, Webpack), and set up monitoring & alerting, improving system reliability.

Educational background for Anna Stakhovskaia

  • 4 years and 10 months, Sep 2008 - Jun 2013

    Corporate management

    Moscow City University

Languages

  • English

    C1 (Fluent)

  • German

    A1-A2 (Basic)

  • Russian

    C2 (Expert / native speaker)

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