Lead Ml
Current
Aug 2024 - Present
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Eugene Chernov Email & Phone Number
MSc AI ‘26 | PhD* Materials Science | MSc Structural Engineering | ML Engineer | Lecturer
at
S8 Capital
LinkedIn matched
✓ Verified August 2026
3 data sources
Profile completeness 86%
Current company
Role
MSc AI ‘26 | PhD* Materials Science | MSc Structural Engineering | ML Engineer | Lecturer
Location
Moscow, Moscow City, Russian Federation
Company size
Who is Eugene Chernov? Overview
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Quick answer
Eugene Chernov is listed as MSc AI ‘26 | PhD* Materials Science | MSc Structural Engineering | ML Engineer | Lecturer at S8 Capital, a with 38 employees, based in Moscow, Moscow City, Russian Federation. AeroLeads shows a matched LinkedIn profile for Eugene Chernov.
Eugene Chernov previously worked as Lead ML at S8 Capital and ML Engineer at S8 Capital. Eugene Chernov holds Master Of Science, Artificial Intelligence from Higher School Of Economics.
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S8 Capital
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Profile bio
About Eugene Chernov
I am passionate about the intersection of business, data and technology and enjoy collaborating with diverse minded people to take on complex challenges. I am always looking for ways to utilize my experience to develop impactful solutions and make things better!HARD SKILLS: python (pandas, Tensorflow, PyTorch, Keras, sklearn, numpy, seaborn, ensemble algorithms), LoRA, peft, langchain, transformers LLM, RecSys, SQL, Postgres, Oracle, EDA, statistics, A/B tests, Superset ,Datalens,linear algebra; pyspark; airflow; Hadoop; Docker; Git, Linux.LANGUAGES: fluent in English, basic German and ChineseSOFT SKILLS: developed at a high level, skills in organizing personal and team work, able to explain a position in a compelling manner, learn quickly and self-organize, an analytical resource that allows you to solve problems from different points of view, switch between tasks and projects without any problems.
Current workplace
Eugene Chernov's current company
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S8 Capital
9 roles
Eugene Chernov work experience
A career timeline built from the work history available for this profile.
Ml Engineer
- Development of ML processes from scratch in the company, creating full-cycle MLOps pipelines for new and existing models (from forming ideas and searching for data, writing ETL, to launching packaged ready-made services with monitoring and orchestration into production);- Creation of an ML platform (sandbox for experiments based on JupyterHub, test + further benches using k8s+ArgoCD+Gitlab);- RnD project with CV (under development);- Wrote an algorithm for detecting multi-accounts (reducing costs for marketing interactions)- Created a real-time NLP model for semantic text analysis (increasing Retention, reducing the time for detecting failures in services);- Launched several versions of the recommendation system (ARPPU increased);- Developed a chatbot based on LLM (models: llama2, mistral, falcon; model sizes: 7B, 13B, 70B), finetuning (LoRA/QLoRA). An alternative RAG model using a vector database. Prompt engineering;- Participate in planning A/B tests when testing models;- Mentoring new employees
Sep 2023 - Aug 2024
Lecturer
CurrentLecturer at OTUS (online IT school) at MLOps course.I'm also a private mentor and teacher in data science, machine learning, math, algebra, statistics, sql etc. Based on my research background I create different educational materials for students
Sep 2023 - Present
Data Scientist
• Data analysis in the B2C sector, data quality assessment, preparation of technical specifications for creating storefronts, DataFlow diagrams, GAP data analysis, coordination of requirements with the customer and product owner.• Creation of dashboards, creation of data marts, ad-hoc queries, cohort data analysis. ETL data from Hadoop
Jul 2023 - Sep 2023
Data Scientist
Self-Employed
- Private analytical projects- Business analysis- Data visualization- Predictive ML
Nov 2022 - Jul 2023
Dpt Cto
Head of research department (CN/RU).- Risk analysis- Data analysis- Math modelling via python- ETL pipelines- Deaprtment managementManaged material researches in Eastern Europe projects.Reduced resource consumption at facilities, reduced time and costs.Introduced advanced achievements in the area of geopolymers materials.
Mar 2020 - Jul 2023
Research Scientist
Researched the possibilities of using environmentally friendly materials and mixtures in civil engineering.Tech: python, matlab
Jun 2019 - Mar 2020
Research Scientist
Academical Research For Phd
Teaching technical disciplines at the university, research in the field of geopolymer materials.PhD thesis: “Clinker-free geopolymer building materials”
Sep 2015 - Sep 2019
Tech Analyst
Jul 2016 - Jun 2019
Team & coworkers
Colleagues at S8 Capital
Other employees you can reach at s8.capital. View company contacts for 38 employees →
SP
Svetlana Piskunova
Colleague at S8 CapitalAntalya, Türkiye, Turkey
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MB
Maria Belova
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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MP
Mikhail Petrov
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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AB
Aleksey Belosyukov
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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ТФ
Тихон Федоров
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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MT
Mikhail Tikhonov
Colleague at S8 CapitalBudva, Montenegro
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OP
Oleg Petrov
Colleague at S8 CapitalCherepovets, Vologda, Russia, Russian Federation
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EN
Elena Nikitina
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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DU
Dmitry Udashov
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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SZ
Sergey Zakora
Colleague at S8 CapitalRussia, Russian Federation
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Svetlana Piskunova
Colleague at S8 CapitalAntalya, Türkiye, Turkey
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MB
Maria Belova
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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MP
Mikhail Petrov
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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AB
Aleksey Belosyukov
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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ТФ
Тихон Федоров
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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MT
Mikhail Tikhonov
Colleague at S8 CapitalBudva, Montenegro
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OP
Oleg Petrov
Colleague at S8 CapitalCherepovets, Vologda, Russia, Russian Federation
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EN
Elena Nikitina
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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DU
Dmitry Udashov
Colleague at S8 CapitalMoscow, Moscow City, Russia, Russian Federation
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SZ
Sergey Zakora
Colleague at S8 CapitalRussia, Russian Federation
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5 education records
Eugene Chernov education
Master Of Science, Artificial Intelligence
Phd Graduate, Materials Science
Kostroma State Academy
Diploma In Structural Engineering, Structural Engineering
Ural State University
Engineer'S Degree, Civil Engineering
Kostroma State Academy
Bachelor'S Degree, Civil Engineering
Kostroma State Academy
FAQ
Frequently asked questions about Eugene Chernov
Quick answers generated from the profile data available on this page.
What company does Eugene Chernov work for?
Eugene Chernov works for S8 Capital.
What is Eugene Chernov's role at S8 Capital?
Eugene Chernov is listed as MSc AI ‘26 | PhD* Materials Science | MSc Structural Engineering | ML Engineer | Lecturer at S8 Capital.
Where is Eugene Chernov based?
Eugene Chernov is based in Moscow, Moscow City, Russian Federation while working with S8 Capital.
What companies has Eugene Chernov worked for?
Eugene Chernov has worked for S8 Capital, Otus Онлайн-Образование, Sberbank, Self-Employed, and China Communications Construction Co., Ltd..
Who are Eugene Chernov's colleagues at S8 Capital?
Eugene Chernov's colleagues at S8 Capital include Svetlana Piskunova, Maria Belova, Mikhail Petrov, Aleksey Belosyukov, and Тихон Федоров.
How can I contact Eugene Chernov?
You can use AeroLeads to view verified contact signals for Eugene Chernov at S8 Capital, including work email, phone, and LinkedIn data when available.
What schools did Eugene Chernov attend?
Eugene Chernov holds Master Of Science, Artificial Intelligence from Higher School Of Economics.
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