Єгор

Contacts:
Yehor But Telegram: @yehor_but
Backend Developer Phone: [відкрити контакти](див. вище в блоці «контактна інформація»)
Email: [відкрити контакти](див. вище в блоці «контактна інформація»)

Technologies: About me:
Backend: I enjoy hiking in nature,
Spring, Java, Hibernate, WebSocket, JWT (Refresh Token & hitting the gym regularly.
Access Token), OAuth2 These activities help me stay
Databases: balanced and focused
MySQL, PostgreSQL outside of work
Api:
RESTful, GraphQL, ChatGPT, Binance Github:
Tools: https://github.com/darters?ta
Docker, Docker-compose, Git, Github, Gitlab CI/CD, b=repositories
Cloud Storage, Google Cloud Console, Linux

Experience: Languages:
English: B1
AI Java Voice/Text Grammar Improver (Java): Ukrainian: Native
https://github.com/darters/JavaAiVoiceTextGrammarImprover
Russian: Native
Voice/Text Input Mode Switching: Users can switch between
text and real-time voice input using commands like voice or text,
allowing for flexible interaction
Speech Recognition with Vosk: Integrated offline speech-to-
text engine (Vosk) to recognize spoken sentences and convert
them into text in real time AI trading bot (Python)
OpenAI GPT Integration: Connected to OpenAI API to analyze https://github.com/darters/Ai
grammar and generate two types of corrections: one CryptoTradingBot
grammatically accurate, one naturally fluent Developed an automated
Command Parsing & Token Tracking: Extracted and parsed trading assistant integrating
responses with regex and Jackson, displaying token usage and Binance Futures API with
both response types for transparency OpenAI GPT-4o to
Configurable via .env generate real-time trading
Multithreaded for continuous voice input signals (entry, stop-loss, take-
Voice commands (e.g., “stop”) profit)
Comes with a ready-to-use Dockerfile Implemented dynamic
market analysis using
WebSockets online chat with JWT tokens (Angular + EMA crossovers and
Spring): linear regression,
https://github.com/darters/WebSocketsChatBackend enabling trend detection
https://github.com/darters/WebSocketsChatFrontend and smart trade decisions
Authentication: Implemented user authorization using JSON Web
Tokens (JWT) to ensure secure and seamless login functionality Built a clean, modular
Enhanced Searchability: Integrated a dynamically generated architecture with services
Sitemap to improve search engine visibility and user navigation
for market data
Real-Time Messaging: WebSockets for real-time communication,
allowing users retrieval, order
Authentication UI: Login and registration pages with validation execution, and AI
and error handling decision-making
WebSocket Integration: Real-time messaging using STOMP
protocol and SockJS
Chat Rooms: Creation, listing, and filtering of chat rooms
Status System: Online/offline status toggle with live updates via
WebSocket subscriptions