Artem Kuchumov

Chief Technology Officer at Sinder AE

Dubai, Dubai, United Arab Emirates
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Summary

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Senior
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Top School
Artem Kuchumov is a CTO and seasoned software engineer with nine years of experience building fintech and conversational AI products, currently leading the technical effort to scale Sinder into the next GCC fintech unicorn from Dubai. He previously led engineering teams at Revolut, where he standardized ML model workflows for financial crime risk assessment and implemented a resilient accounting subledger, and before that built production-grade NLP/chatbot systems for public health and enterprise onboarding. Artem combines research-grade expertise (MSc with high honors in Computer Science) and applied engineering, shipping CI/CD-driven ML services and secure deployment practices across cross-functional teams. He’s as comfortable architecting backend financial systems as he is launching consumer-facing chatbots, and he often focuses on turning complex ML and compliance requirements into auditable, repeatable production processes.
code9 years of coding experience
job7 years of employment as a software developer
bookBachelor's degree, Computational and Applied Mathematics, Bachelor's degree, Computational and Applied Mathematics at Perm State University (PSU)
bookMaster's degree with high honors, Computer Science, Master's degree with high honors, Computer Science at Higher School of Economics
languagesEnglish, Russian, Italian
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Github Skills (82)

python10
deep-learning10
crawler10
jax10
data-science10
tensorflow10
pytorch10
machine-learning10
r9
monitoring9
conversational-ai9
chatbot9
data-visualization9
dashboard9
grafana9

Programming languages (5)

TypeScriptC++HTMLJupyter NotebookPython

Github contributions (5)

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Data science knowledge base with a telegram chatbot interface
Contributions:39 commits, 12 pushes, 1 branch in 19 days
chatbotdata-sciencetelegrampythontelegram-bot
artem-kuchumov/pyuplift

Feb 2019 - Dec 2019

Lightweight uplift modeling framework for Python
Contributions:95 commits, 4 PRs, 104 pushes in 9 months
pythonuplift-modelingmachine-learningmarketingtrue-response-modeling
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