Bachelor's degree in Information Technology

2017 - 2021

Kyiv National University of Technologies and Design

Studied full-stack development and artificial intelligence, with a focus on Advanced Database Systems, Cloud Computing, Blockchain Technology, and Artificial Intelligence. Blockchain technology in secure data sharing for the thesis project to enhance user experience.

Freelancer

04/2024 - Present

Upwork

• Successfully developed and delivered a complex trading graph project using Python in a remarkably short timeframe, demonstrating both efficiency and strong technical skills in data visualization and financial analysis. Python was used to handle data processing, while PineScript allowed for the creation of dynamic and customizable financial charts. This project showcased advanced data manipulation and visualization techniques, resulting in clear, actionable insights for traders.
• Designed and implemented a comprehensive full-stack forex currency trading platform, utilizing the MERN stack (MongoDB, Express, React, Node.js). The project was completed within one month and involved integrating real-time forex data for accurate market analysis. React was used to build a highly responsive user interface, ensuring an intuitive trading experience, while Node.js and Express handled the backend logic and API integration. MongoDB was employed to manage large volumes of trade data, ensuring fast and reliable performance, all while meeting strict client specifications.

Full Stack Engineer

05/2021 - 04/2024

Lition

• Achieved consistent profitability, and successfully maintained a profitable trading record for the team, generating about 120% return on investment annually. Utilized Node.js to build efficient, high-performance backend systems that handled large volumes of data and provided real-time insights into market movements. Automated key processes, ensuring stable and profitable trading operations.
• Implemented automated trading systems by designing and deploying trading algorithms and backend solutions, increasing trading efficiency by 30% and reducing the manual workload. Leveraged Next.js to create user-friendly, server-rendered web applications for monitoring and managing trades. Utilized Git for version control and integrated DevOps practices to ensure continuous deployment and smooth operation of the trading systems.
• Developed trading strategies by analyzing market trends and implementing proprietary algorithms tailored to specific market conditions. These strategies provided the team with a 15% competitive advantage, enhancing decision-making and ensuring an edge in the highly dynamic trading environment.

Backend Developer

08/2020 - 05/2021

Berkeley Square

• Designed and implemented a new engine algorithm that reduced computation time by 40% in the core protocol. Leveraged Node.js for building a fast, non-blocking environment, ideal for handling multiple concurrent operations efficiently. The data was stored and managed using MongoDB, a NoSQL database that provided flexibility and scalability, ensuring high performance and quick access to large datasets.
• Optimized a critical path algorithm in the management system, focusing on improving the efficiency of key operations by applying advanced data structures and refining the algorithm logic. This resulted in a 25% boost in operational efficiency and a significant reduction in overall costs, allowing the system to handle more tasks with fewer resources.
• Conducted A/B testing on machine learning algorithms for recommendation systems, utilizing AWS infrastructure for scalable and reliable testing environments. The A/B testing framework allowed for careful analysis of different algorithm versions, leading to a 15% increase in recommendation accuracy. The use of AWS provided the computational power needed to handle large-scale data processing and testing.

Frontend Developer

8/2020 - 5/2021

Nagarro

• Conducted in-depth analysis of transaction data in e-commerce platforms, leveraging React to create dynamic, responsive user interfaces that improved user interaction. Ant Design was used to build clean, intuitive components, ensuring a consistent and professional look across the platform. These efforts led to a 15% improvement in transaction efficiency by streamlining processes and enhancing the user experience.
• Developed automated reporting processes for financial systems using Python for data manipulation and SQL for database management. These technologies allowed for efficient handling of large datasets, ensuring faster and more accurate reporting. By integrating Laravel for the backend, I created a robust framework that supported seamless interaction with the database, while Vue.js was employed on the frontend to build a smooth and interactive user interface for generating reports. This resulted in a 30% reduction in report generation time and improved data accuracy.
• Designed and launched interactive visualizations and real-time dashboards for tracking key performance metrics, using Next.js to build server-side rendered web applications with excellent performance and SEO optimization. On the backend, NestJS was utilized to manage complex business logic, offering a scalable and efficient structure for handling data. These dashboards allowed for real-time insights and improved decision-making in both financial and e-commerce systems, reducing feature development time by 30%.