Elena Samuylova
CEO & Co-founder at Evidently AI
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolElena Samuylova is a founder and product-led CEO with 14+ years building and scaling enterprise AI products, now co-leading Evidently AI to create open-source tooling for ML and LLM observability. She previously co-founded Mechanica AI, deploying ML to optimize production for global metal and chemical clients and evolving the product toward self-service AutoML for domain experts. As an early leader at Yandex Data Factory she shaped go-to-market and enterprise adoption of machine learning when "big data" was still the buzzword. Elena blends hands-on engineering sensibility—visible in her contributions to Evidently's test framework migration and QA automation—with strategic product and GTM experience. She champions translating model outputs into clear business narratives ("Python to PowerPoint and back") and building measurable ML products in production. Based in London, she is active in open-source and education, helping design a master's program in Big Data Analytics and mentoring startup founders.
14 years of coding experience
9 years of employment as a software developer
Master of Science (MSc) Master in International Business, Master of Science (MSc) Master in International Business at Graduate School of Management St. Petersburg State UniversityCEMS Master in International Management, CEMS Master in International Management at EsadeSpecialist Graduate Degree Economics, Specialist Graduate Degree Economics at Saint Petersburg State UniversityCEMS Master in International Management , CEMS Master in International Management at CEMS - The Global Alliance in Management EducationSummer 2021 Batch, Summer 2021 Batch at Y CombinatorSummer School International Marketing, Summer School International Marketing at WU (Vienna University of Economics and Business)CEMS Master in International Management, CEMS Master in International Management at Corvinus University of Budapest
Russian, English, Spanish, German
Github Skills (6)
github-ci10
githubaction-workflow10
pytest10
python10
testing10
software-quality9
Programming languages (4)
Github contributions (5)
evidentlyai/evidently
Dec 2021 - Nov 2022
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:33 reviews, 244 commits, 125 PRs in 11 months
Contributions summary:Elena's main contributions revolve around the refactoring of the testing framework from unittest to pytest. The commits show adding and integrating pytest, adjusting GitHub Actions for the new framework, and rewriting existing tests. This indicates a focus on test automation, framework migration, and maintaining test suite functionality.
ml-modelspythonmonitordiscordjupyter-notebook
Tapot/evidently
Dec 2021 - Sep 2022
Interactive reports to analyze machine learning models during validation or production monitoring.
Contributions:263 pushes, 92 branches in 9 months
reportsvalidationdata-sciencemachine-learningmlops
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.