Ilia Pakhomov

Senior MLOps Engineer at Esko

Prague, Czechia
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Summary

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Senior
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Top School
Ilia Pakhomov is a Staff MLOps Engineer based in Prague with 11 years of experience building cloud-native ML and data platforms that shorten model release cycles and automate operational workflows. He specializes in productionizing models, CI/CD for ML, near real-time inference, orchestration with Airflow and Kubernetes, and observability on Google Cloud and Vertex AI. At Wrike he led projects that cut model release time from weeks to days, reduced anomaly detection time by ~60%, and delivered LLM-based knowledge search and causal inference automation that materially increased team throughput. Comfortable across Python, large-scale data processing, and containerized deployments, he blends hands-on engineering with product-focused enablement for data teams. A practical problem-solver, he has a history of turning research prototypes into repeatable, monitored services that reduce manual effort and accelerate decision-making.
code11 years of coding experience
job10 years of employment as a software developer
bookBachelor's degree, Information Technology, 4B, Bachelor's degree, Information Technology, 4B at ITMO University
languagesРусский, Английский
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Github Skills (50)

data-science10
r10
data-mining10
machine-learning10
analytics10
forecasting10
deep-learning10
data-visualization10
forecast10
science10
matplotlib9
pandas9
seaborn9
algorithms9
dataframe9

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Teoretic6/czech-tutor

Jun 2024 - Aug 2024

Contributions:15 pushes, 1 branch in 2 months
Contributions:16 pushes, 1 branch in 1 month
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