Pavel Pleskov
Head Of Quantitative Research
Limassol, Cyprus
Summary
👤
Senior🎓
Top SchoolPavel Pleskov is Head of Quantitative Research with nine years of experience building data-driven trading and ML systems across HFT, options, anti-fraud, and e-commerce. He blends a strong quantitative foundation from MSU and an MA in Economics with hands-on machine learning and production engineering—shipping CV/TS pipelines at H2O.ai, customer acquisition models at Praxis, and automated NLP solutions at Point API. A former Kaggle Competitions Grandmaster, Pavel has repeatedly ranked in top tiers across diverse challenges, demonstrating rare breadth from image and signal tasks to fraud and NLP. He has led quant teams at Fast Forward and ThunderBid, translating research into live trading and anti-fraud systems, and remains an active backend developer fixing and optimizing automation tooling (including Instagram bot feature work). Based in Limassol, he combines academic rigor with pragmatic engineering, often surfacing clever automation and performance tweaks that quietly improve system reliability.
9 years of coding experience
5 years of employment as a software developer
High School Mathematics, High School Mathematics at Moscow School 57MA Economics, MA Economics at New Economic SchoolLomonosov Moscow State University
English, Russian, Spanish
Github Skills (11)
bots10
instagrapi10
insta10
api10
wrapper10
instagram10
python10
apidoc10
googlebot10
automation9
automations9
Programming languages (2)
Github contributions (5)
ohld/igbot
Feb 2017 - Mar 2017
🐙 Free scripts, bots and Python API wrapper. Get free followers with our auto like, auto follow and other scripts!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:15 commits, 9 PRs, 8 comments in 1 month
Contributions summary:Pavel primarily contributed to bug fixes and feature enhancements for the Instagram bot. Their work involved adjusting the bot's core functionalities, including image uploading and posting, along with modifications to the like/unlike and block bot features. The user also introduced automation for posting images from a directory and optimized the bot's performance and functionality.
apipythonapi-wrapperfollowbot
BelowzeroA/ComposeUniversity
Nov 2017 - Nov 2017
Contributions:19 commits, 18 pushes in 3 days
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