Контактная информация

Соискатель указал телефон и эл. почту.

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Опыт работы

Нет опыта работы.

Образование

Среднее

Знания и навыки

• C/C++
• C#
• Python
• Java
• PHP
• JavaScript
• SQL
• PostgreSQL
• MS SQL Server
• HTML
• CSS
• JQuery
• Symfony
• Docker
• Kubernetes
• AWS
• Git
• Application of artificial intelligence
• Machine learning
• Llm agents
• Microservices
• GRPC
• REST API
• MSVC
• GCC
• Windows API
• Knowledge of OOP principles
• Multithreaded programming
• Multiprocessing
• Knowledge of design patterns
• Performance optimization
• Debugging

Дополнительная информация

Taras Kushnir — Software Engineer (C++)
Ukraine (remote) | [открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация»)
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SUMMARY
Software engineer with strong background in C++ and applied mathematics, focused on building complex software systems, distributed architectures, and AI-based solutions. Experience in high-load systems, parallel computing, and performance optimization.
Practical experience developing AI services in C++ and Python, deploying distributed services using Kubernetes, and implementing statistical and machine learning models. Understanding of LLM-based services architectures (RAG, embeddings, agent systems) and experience integrating AI services via APIs. Strong ability to quickly adopt new technologies and solve complex engineering problems.
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CORE SKILLS
Programming: C++ (primary), Python, C#, PHP, JavaScript, SQL
Systems & Architecture:
complex system design
distributed and high-load systems
parallel and concurrent computing (multithreading, synchronization, IPC)
latency and throughput optimization
design, implementation, and optimization of algorithms and data structures for performance-critical systems
AI / Machine Learning:
AI services development (C++ / Python)
neural networks and predictive models
statistical models (HMM)
AI service integration via APIs
LLM-based services (RAG, embeddings, agent systems)
Infrastructure & Backend: Docker, Kubernetes, REST API, gRPC
Data: PostgreSQL, MS SQL Server
Low-level / System: network protocols, cryptography, Windows COM/DCOM, distributed storage
Tools: Git, Linux, Windows
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PROFESSIONAL EXPERIENCE
Soft Industry — Software Engineer (C++ / AI / Distributed Systems) | 2019–2025
Development of labor market data processing and matching platform
Development and deployment of AI services (C++, Python)
Deployment and orchestration of distributed services using Docker and Kubernetes
Development of distributed file storage system
Work with high-load and distributed architectures
Technologies: C++, Python, C#, Docker, Kubernetes
__________
Financial Systems & High-Performance Software — Software Engineer | 2011–2019
(Argo SE, Alfarobots, Litera, Aspose, Virton)
High-frequency trading platform development
Risk management and market data systems
Document processing and corporate systems
Backend and web system components
High-performance and concurrent system development
Technologies: C++, C#, PHP, JavaScript
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Early Career: Enterprise & Web Systems | 2008–2011
(EPAM Systems, InvisibleCRM, Space Mobile, Oplata, KNU)
Financial software and payment systems
CRM/ERP and web platforms
Implementation of cryptographic algorithms for parallel processing
Technologies: C++, C#, PHP, JavaScript
__________
Personal Projects (AI / Backend) | 2025–present
Machine learning experiments and data processing tools
AI service prototyping and backend development
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EDUCATION
Taras Shevchenko National University of Kyiv — Applied Mathematics and Computer Science
Additional training: mathematical statistics, data analysis, machine learning (Stepik)
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LANGUAGES
English — Upper-Intermediate