Jul 2025 – Dec 2025 · 5 mos · Berlin, Germany · Remote

• Owning flagship capital investment feature, establishing React AI migration patterns
• Customer engagement & Acquisition team

Jun 2022 – Jun 2025 · 3 yrs · Berlin, Germany · Hybrid

• Developing AI-powered merchant tools for supply chain management
• Launching Purchasing Automation, Forecasting and Invoices services for shops from MVP to scaled product used worldwide
• Leading refactoring process - switching to typesafe router to improve developer experience across teams.
• Refactoring of login/logout flow - fixing errors and regressions and improving architecture
• Mentoring Junior Developer to grow into independent Front End Engineer.
• Leading Accessibility initiative for merchant app, establishing developer guidelines and best practices across teams
• I lead major front-end infrastructure updates and develop new reusable components utilized across all teams, ensuring consistency and scalability in our applications. My role involves coordinating significant codebase updates and setting up frameworks for new services and pages. I actively collaborated with managers to align technical initiatives with business objectives.
• Also, my responsibilities included mentoring an intern to grow into a strong independent developer.
• Working on internal tools for supermarket management, involving a lot of cross-service communications, complex e2e testing and making changes to improve the dev experience for 10+ FE engineers in our team. Doing coordination work for significant codebase updates, creating fresh setups for new services and pages, optimizations and improvements for component library

Feb 2021 – Jun 2022 · 1 yr 4 mos · Berlin, Germany · Hybrid

• Working on scalable data pipelines, partners enrollment websites and API specs
• Partner Restaurant Enrollment Websites:
• Developed and optimized the front-end of partner restaurant enrollment platforms, enhancing the user experience and streamlining the onboarding process.
• High-Performance Data Processing Services & APIs:
• Engineered and deployed scalable data processing services on AWS using Go, efficiently handling large-scale data and significantly reducing processing time.
• Designed a custom domain-specific configs to describe data processing pipelines, improving clarity and maintainability.
• Implemented Go-based pipeline components capable of processing files of any size with parallel and asynchronous data streaming.
• Automated infrastructure deployment using Terraform, reducing manual effort and ensuring consistent environments.
• Developed a web service to render OpenAPI specifications from S3 buckets, simplifying API consumption and documentation.

Jan 2020 – Jan 2021 · 1 yr · Kyiv, Kyiv City, Ukraine · Hybrid

• Building ML Training platform for in-house AI models
• ML Training Platform: Developed a robust full-stack solution—a React web application with a Python backend and MongoDB infrastructure—for managing machine learning training set data, expediting AI model development.
• CI/CD Pipeline: Implemented a Docker-based CI/CD pipeline, ensuring seamless app portability and enabling the deployment of multiple instances concurrently.
• Flexible Component System: Designed and integrated a modular component system for task solving that facilitated rapid deployment of new task types for ML data labeling.
• Optimized Task Processing: Created a task preloading system with intuitive UX patterns that allowed moderators to complete each task in under one second.
• Data Analysis Tools: Built complex charting and data analysis features to monitor algorithm accuracy, moderator workload, and performance, supporting advanced methodologies such as Ensemble Learning, Adversarial Training, and Self-Play.

Jun 2017 – Jan 2020 · 2 yrs 7 mos · Kyiv, Kyiv City, Ukraine · On-site

• Working on web app for biggest Ukrainian prop tech platform. Improving ad campaigns dashboard for b2b partners.
• Payment Application: Developed payment application for business partners, streamlining financial transactions.
• React Refactor: Led the transition of the main web application to React.js, establishing a cohesive design system and reusable components that improved code maintainability, user experience, and boosted ad views, contributing to significant revenue growth.
• 3D Map Performance: Enhanced the performance of interactive city maps with 3D models by optimizing rendering for over 10,000 objects, resulting in smoother user interactions.
• UX and A/B Testing: Collaborated closely with design and analytics teams to conduct extensive UX research and A/B testing, driving data-informed improvements.
• Backend Migration: Helped with refactoring React app for full migration to a new Python backend.