Lev Litvinov

Lev Litvinov

$40/hr
Middle Data Scientist
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
25 years old
Location:
Saint Petersburg, Saint Petersburg, Russian Federation
Experience:
3 years
Lev Litvinov Data Scientist & Developer Saint Petersburg Russia G - !- To research various problems related to machine learning and data science, take an active part in the development and design of systems and engines. Education 2021 – 2023 Saint Petersburg State University, Applied Maths and Physics (MS), St. Petersburg, Russia 2017 – 2021 Saint Petersburg State University, Applied Maths and Physics (BASc), St. Petersburg, Russia Bachelor’s Thesis: Coherent control of periodic nanostructured surfaces Work Experience Employment History March 2022 – Data Scientist, Spell, Riga, Latvia current Scoring API, recommendation systems development, working with AWS. March 2021 – Machine Learning Engineer, Lucky App, Cairo, Egypt March 2022 Scoring API, recommendation systems, OCR API development, working with AWS and GCP. January 2021 – Fullstack Developer, Saint Petersburg State University Science Park, St. Petersburg, Russia January 2022 REST API for embedded devices, desktop apps development, working with Yandex.Cloud. April 2021 – Machine Learning Engineer, Smart Agri Labs, Des Moines, USA January 2022 Scoring algorithms development. Project History June 2021 – Machine Learning Engineer, Challenging races, Canberra, Australia March 2022 Scoring algorithms development. Research Experience June 2021 – Saint Petersburg State University, Angular dispersion boost of high order laser harmonics current with dense plasma clusters, with prof. A.A.Andreev, St. Petersburg, Russia We propose a nanosphere array target in the plasma phase as an efficient dispersive medium for the intense XUV light. The scattering process is studied with numerical simulations and resonance conditions from the analytical model. We show the angular distribution of harmonics after scattering can be good described by the Laue diffraction theory. Technical and Personal skills ○ Programming Languages: proficient in: Python, Matlab, TeX, C; basic ability with: C++, Go, CUDA. ○ General Business Skills: good presentation skills, works well in a team, stress tolerance, responsiveness, emotional intelligence.
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