- Developed an AI assistant for B2B companies as part of a small remote team, helping automatecustomer communication and reduce manual workload

- Designed and implemented a microservice-based backend for handling a large number of parallelrequests

- Integrated AI models into the product, including request processing and response generation

- Participated in training and fine-tuning the AI model according to business requirements

- Contributed to frontend development and UI implementation, improving user experience

- Implemented deployment pipelines and managed production launches0 Identified and fixed bugs, performed code refactoring, and resolved technical debt

- Collaborated with the team on architectural decisions and product improvements0 Automated AI model training workflows using custom scripts

- Implemented parsing and integration of a Chrome extension interface into web pages
Stack: JavaScript, TypeScript, Python, Express.js, React.js, Supabase, OpenaiAPI, Vercel, Zod, TaiwindCSS,ChromeExtensionAPI.

- Developed a website catalog to automate the sales of the company's products

- Designed and implemented backend APIs and frontend interfaces0 Deployed and maintained the application on a VPS

- Configured domains and subdomains, including SSL certificates via Certbot

- Ensured long-term stability through monitoring, testing, and ongoing support

- Developed and integrated a Telegram bot for notifications about new orders and support requests
Stack: JavaScript, Python, React.js, Flask, Nginx, Docker, TelegramBotAPI.

- Developed a Twitch bot for automating song requests during live streams

- Implemented command-based song ordering (!song) with automatic validation and filtering logic

- Integrated Spotify API to add approved songs directly to the streamer’s playback queue

- Implemented content filtering logic to block prohibited tracks based on metadata

- Designed and developed a desktop application for managing the bot lifecycle

- Implemented a user-friendly interface allowing streamers to configure, start, and stop the bot with asingle click

- Integrated backend services with the desktop application for real-time control and monitoring

- Optimized bot performance using multiprocessing for handling concurrent requests
Stack: JavaScript, Python, DRF, React.js, Electron.js, Twitchio, MultiProcessing