Movses Elbakian
Quantitative Researcher
Moscow, Moscow City, Russia
Summary
👤
Senior🎓
Top SchoolMovses Elbakian is a quantitative researcher and software engineer with 10 years of experience building large-scale systems for finance and consumer products. He has architected end-to-end payment and compliance platforms at Joompay, implemented offline recommendation and push infrastructures at Yandex.Zen, and now applies quantitative techniques at a private HFT fund. Comfortable across Java, C++, Python and production APIs, he combines hands-on engineering with domain knowledge in document ranking, FX, and regulatory reporting. Known for turning complex regulatory and integration requirements into robust automated pipelines, he often focuses on efficiency and reproducibility behind the scenes. An HSE computer science graduate based in Moscow, he blends research-oriented thinking with pragmatic system design.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Higher School of Economics
English, Russian, Armenian
Stackoverflow
154reputation
1kreached
0answers
3questions
Github Skills (27)
bigquery10
mysql10
big-data10
analytics10
olap10
mpp10
sql10
ai10
clickhouse-client10
embedded10
cpp10
rust10
cloud-native10
dbms10
clickhouse10
Programming languages (3)
Github contributions (5)
slayff/art_of_vectors_pytorch
Dec 2019 - Dec 2019
PyTorch implementation of "Art of singular vectors and universal adversarial perturbations"
Contributions:17 commits, 4 PRs, 12 pushes in 19 days
pytorchsingularartadversarial-perturbationsdeep-learning
MovElb/PyProj
Jan 2016 - Mar 2017
Contributions:31 pushes, 1 branch in 1 year 2 months
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