• Developed a browser extension which enables users to submit info about their books to a bunch of sites with a few clicks. • Developed API (Python, FastAPI and Mongo) to scrape Amazon on users demand which scaled to thousands of parallel scrapers.• Have configured deployment with Docker & docker-compose and covered the system with health monitoring using Prometheus, logs collecting using Loki and set up Grafana dashboards.

• Collaborated on an MVP of an AI pipeline that transforms text into sales movies, contributing to AI development, infrastructure, and front-end.• Quickly adapted to the codebase, submitting the first pull request within hours of the first workday, showcasing efficient project onboarding.• Enhanced a legacy video editor by implementing new features and improving functionality, demonstrating the ability to work with existing codebases.• Supported the front-end of the main Voomly app, resolving complex bugs and performing low-level debugging, exhibiting strong problem-solving skills.

• Developed a browser extension which tightly couples Google Calendar, Confluence and Meetical back-end from scratch.• Developed app for Atlassian Jira and Confluence using Atlassian Forge SDK which won a prize in Atlassian CodeGeist hackathon.

• Developed an advanced browser extension which integrates with the main marketing automation app involving integration with 3rd party websites, VoIP and various mini-apps inside the extension.• Gradually moved the extension to TypeScript. This enabled us to speed up development and and reduced number of bugs in project.• Migrated existing vanilla JS components to TypeScript/React which enabled us to provide better user experience, reduce number of duplicate code and speed up development of new pages and mini-apps inside the extension.

Developed a browser extension as part of MVP which later evolved into a web application.Worked on front-end side of the app (React, Redux) as well as on back-end (Python, FastAPI, MongoDB).

Developed a browser extension for internal use which tightly integrates with the main app and LinkedIn. The extension enables recruiters to perform various automation and data collecting tasks directly in LinkedIn and see the processed data in the main app.