Cyberia Marketplace

Software Development Engineer

Finance

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Languages

Russian

English

Skills

Python

Git

Machine learning

Data Analysis

Neural Networks

C++

SQL

WebRTC

Kubernetes

TCP/IP

Android

Design Patterns

pandas

TensorFlow

PyTorch

Docker

Nginx

MATLAB

QUIC

UDP

Reinforcement Learning

Optimal Control

Differential Games

SOLID

Clickhouse

Quantitative finance

Work experience - 17 years

Finance	Machine Learning Engineer
Experience: 1 year	Machine Learning Engineer (Production activity: - Development of trading strategies using reinforcement learning. - A/B testing. - Researching and testing new concepts in reinforcement learning-based trading. - Performing quantitative analysis tasks. Achievements: - Trading strategies were implemented for different markets and purposes. - Strategies demonstrated improved performance. - One strategy was deployed and showed promising results. [2024 - 2025]

Finance

Machine Learning Engineer

Experience:
1 year

Machine Learning Engineer (Production activity: - Development of trading strategies using reinforcement learning. - A/B testing. - Researching and testing new concepts in reinforcement learning-based trading. - Performing quantitative analysis tasks. Achievements: - Trading strategies were implemented for different markets and purposes. - Strategies demonstrated improved performance. - One strategy was deployed and showed promising results. [2024 - 2025]

IT	Researcher
Experience: 2 years	Development of a data transmission protocol over the internet. Implementation of congestion control algorithms, including reinforcement learning-based algorithms. Participation in the development of decision-making logic for multi-path data transmission. Conducting large-scale testing of data transmission solutions for mobile devices. Development of a WebRTC framework. Development of adaptive bitrate and bandwidth estimation based on reinforcement learning. Leading development for participation in bandwidth estimation competitions using reinforcement learning.

Researcher

Experience:
2 years

Development of a data transmission protocol over the internet. Implementation of congestion control algorithms, including reinforcement learning-based algorithms. Participation in the development of decision-making logic for multi-path data transmission. Conducting large-scale testing of data transmission solutions for mobile devices. Development of a WebRTC framework. Development of adaptive bitrate and bandwidth estimation based on reinforcement learning. Leading development for participation in bandwidth estimation competitions using reinforcement learning.

Science	Researcher
Experience: 3 years	- Solving differential games using reinforcement learning methods (with tasks from robotics, conflict resolution, and optimal guaranteed control). - Development of mathematical models and formalization for the reinforcement learning paradigm. - Analysis of modern literature on reinforcement learning. - Software development for various reinforcement learning agents. - Training agents for reliable solving of differential games.

Science

Researcher

Experience:
3 years

- Solving differential games using reinforcement learning methods (with tasks from robotics, conflict resolution, and optimal guaranteed control). - Development of mathematical models and formalization for the reinforcement learning paradigm. - Analysis of modern literature on reinforcement learning. - Software development for various reinforcement learning agents. - Training agents for reliable solving of differential games.

Education	Instructor
Experience: 3 years	Instructor (part-time) (Development of a course on machine learning methods and lectures for students. Development of educational materials on various machine learning topics. Creation of lecture presentations. Main results: Preparation of exercises for practical application of the methods covered. Development and delivery of a course from scratch, including examination preparation and administration.) [2020 - 2023]

Education

Instructor

Experience:
3 years

Instructor (part-time) (Development of a course on machine learning methods and lectures for students. Development of educational materials on various machine learning topics. Creation of lecture presentations. Main results: Preparation of exercises for practical application of the methods covered. Development and delivery of a course from scratch, including examination preparation and administration.) [2020 - 2023]

Finance	Machine Learning Developer
Experience: 1 year	Participating in a project focused on optimizing decision-making processes under uncertainty. Designing decision-making schemes using methods from operation research and machine learning techniques. Refactoring codebase and improving existing features. Analyzing relevant literature and participating in research. Developing tools for classification tasks, including model training and validation, and integrating them into web applications. Developed a tool for solving optimization problems. Created applications for classification tasks. [2021 - 2022]

Finance

Machine Learning Developer

Experience:
1 year

Participating in a project focused on optimizing decision-making processes under uncertainty. Designing decision-making schemes using methods from operation research and machine learning techniques. Refactoring codebase and improving existing features. Analyzing relevant literature and participating in research. Developing tools for classification tasks, including model training and validation, and integrating them into web applications. Developed a tool for solving optimization problems. Created applications for classification tasks. [2021 - 2022]

Aerospace industry	Engineer
Experience: 7 years	Development of control systems for fuel consumption monitoring. Processing and analysis of data obtained during testing. Creation of models for solving control tasks. Participation in the discussion and modernization of control algorithms. Preparation of technical documentation and analytical reports. Development of mathematical models of fuel consumption processes. Approximation of mathematical models using dynamic systems. Solving fuel consumption control problems using optimization methods in various conditions. Adaptation of optimization methods for solving the assigned tasks. Participation in scientific conferences. Publication of research results in scientific publications. Software development for solving the assigned task.

Aerospace industry

Engineer

Experience:
7 years

Development of control systems for fuel consumption monitoring. Processing and analysis of data obtained during testing. Creation of models for solving control tasks. Participation in the discussion and modernization of control algorithms. Preparation of technical documentation and analytical reports. Development of mathematical models of fuel consumption processes. Approximation of mathematical models using dynamic systems. Solving fuel consumption control problems using optimization methods in various conditions. Adaptation of optimization methods for solving the assigned tasks. Participation in scientific conferences. Publication of research results in scientific publications. Software development for solving the assigned task.

Education

Finished	x1	Ural Federal University / Information Technology
Finished	x1	SUSU / Information Technology
Finished	x2	Coursera / Information Technology
Finished	x1	NUS / Information Technology
Finished	x3	Educational institution / Information Technology
Finished	x1	Higher Education Institution / Information Technology
Finished	x1	MIT / Mathematics
Finished	x1	ITMO / Information Technology
Finished	x1	Educational institution / Engineering
Finished	x1	MIT / Information Technology
Finished	x1	MIPT / Information Technology

Languages

Russian

English