Andrey Lukyanenko
Machine Learning Engineer at Meta
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAndrey Lukyanenko is a Machine Learning Engineer with a decade of experience building production ML and CV systems across healthcare, telecom, e‑commerce and ride‑hailing. He led CV and NLP teams, shipped fraud-reduction face recognition, real-time pre-authorization and anomaly detection systems at Careem, and drove medical chatbot, video super-resolution and LLM projects at MTS AI. A Kaggle Competition Master and top kernel author with 50+ kernels, he also contributes backend improvements to the widely used NL-Augmenter repository, highlighting a blend of research-grade modeling and pragmatic engineering. Now at Meta on monetization, he combines strong product impact metrics with mentoring and deployment expertise, and often bridges model R&D to specialized hardware and multi-node inference.
10 years of coding experience
6 years of employment as a software developer
магистр экономика, магистр экономика at МГУ им. Ломоносова
German, Spanish, Русский, English, German, Japanese, Spanish
Stackoverflow
3,771reputation
272kreached
143answers
3questions
machine-learning
top-1%
scikit-learn
top-5%
deep-learning
top-5%
python
top-5%
Github Skills (17)
transformers10
python10
machine-learning10
nlp10
back-end-development9
scikit-learn9
deep-learning9
neural-network6
keras6
tensorflow6
dataframe6
normalization6
classification6
pytorch6
pandas6
Programming languages (7)
Github contributions (5)
GEM-benchmark/NL-Augmenter
Aug 2021 - Sep 2021
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 reviews, 8 commits, 1 PR in 1 month
Contributions summary:Andrey's commits primarily involve modifications to Python files, suggesting a focus on back-end development. The changes include updates to core functionalities, such as paraphrasing, hashtag generation, and entity mention replacement, indicating contributions to the core logic of the natural language processing transformations. The commits showcase the user's role in improving and maintaining various transformations within the NL-Augmenter project, including integrating features such as DiverseParaphrase, and modifications to existing filters.
nlpinformation-theorysentencedeep-learningmachine-learning
Erlemar/cs231n_self
Apr 2017 - Apr 2019
Contributions:22 commits, 20 pushes, 1 branch in 2 years
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