Kirill Pavlov
Chief Technology Officer at Global Shipping Business Network (GSBN)
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolKirill Pavlov is a technology executive and data scientist with 15 years of experience building large-scale ML-driven products and leading engineering teams across advertising, loyalty, HR-tech and global trade. As CTO of the Global Shipping Business Network he shapes the consortium’s tech strategy to enable secure, interoperable digital trade infrastructure, drawing on prior experience scaling ads products at Meta that helped enable $2B in revenue reach and serve billions of users. He previously founded data science capabilities at Terminal 1 and Asia Miles, delivering candidate search engines and lifecycle models that materially improved relevancy and retention. Comfortable across research-grade optimization, production ML and backend systems, Kirill has hands-on open-source testing work (notably improving Django fixtures/testing in the mixer project) that underscores his attention to reliability. Trained in applied mathematics and data mining at MIPT with additional credentials from Yandex School of Data Analysis, he combines rigorous quantitative foundations with product-minded engineering leadership. Based in London, he’s interested in how system design and machine learning can unstick fragmented industries like shipping by surfacing hidden efficiencies.
15 years of coding experience
15 years of employment as a software developer
Mathematics, Mathematics at Independent University of MoscowMaster's degree Data mining, Master's degree Data mining at Moscow Institute of Physics and Technology (State University) (MIPT)Entrepreneurship/Entrepreneurial Studies, Entrepreneurship/Entrepreneurial Studies at Startup School OnlineDiploma Internet Data Analysis, Diploma Internet Data Analysis at Yandex School of Data Analysis
English, Russian, Chinese
Stackoverflow
124reputation
41kreached
7answers
1question
Github Skills (17)
mstest10
python10
django10
testing10
teste10
ui-testing10
dictionary6
nuxt6
pytest6
vercel6
classification6
json6
javascript6
apache6
postgresql6
Programming languages (9)
Github contributions (5)
klen/mixer
Jun 2014 - Jun 2014
Mixer -- Is a fixtures replacement. Supported Django, Flask, SqlAlchemy and custom python objects.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits in 1 day
Contributions summary:Kirill primarily focused on enhancing the testing suite for the `mixer` library. Their contributions included adding tests for various Django model fields, such as IP addresses, positive small integers, and file paths. They also implemented tests for the generic IP address field and ensured the correct behavior of custom faker functions related to IP generation. This work improves the library's reliability and validation of the data generation process within the Django environment.
pythondjangoflaskpython2testing-tools
pavlov99/watertext
Nov 2017 - May 2020
🏷 Vanilla watermarking library (ES6+rollup)
Contributions:43 commits, 26 pushes, 3 branches in 2 years 6 months
rollupjavascriptwatermarkingwatermark-imagees6
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