Contact information

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Education

Одеський фаховий коледж комп'ютерних технологій ОДЕКУ

121 «Інженерія програмного забезпечення», Одеса
Specialized secondary, from 2019 to 2023 (4 years)

Knowledge and skills

• Python
• HTML
• Django
• CSS
• Git
• PostgreSQL
• GitHub
• Docker
• Знання принципів ООП

Language proficiencies

• English — average
• Ukrainian — fluent

Additional information

ABOUT ME
I write Python applications independently, with no commercial experience yet — but with a portfolio of dozens of
working pet projects: backend services on FastAPI and Django, Telegram bots with real users, ML pipelines for
forecasting, and real-time systems built on WebSockets. On several of these projects, on my own initiative, I apply
industry-standard practices — automated tests, CI/CD, Docker, database migrations, authentication.
SKILLS
Backend & API: Python, FastAPI, Django + DRF, Flask, aiogram, Telethon, asyncio
Data & storage: PostgreSQL, SQLite, SQLAlchemy (async), Alembic, Redis
Async & queues: Celery, WebSockets, background workers
AI / ML: OpenAI API, XGBoost, LightGBM, Optuna, pandas, TTS integrations (Piper/Silero/Qwen3).
Tools & practices: Docker / Docker Compose, GitHub Actions CI, pytest, Ruff, mypy, Git
Desktop & automation: PyQt5/6, PySide6, Tkinter, requests + BeautifulSoup, Selenium, ccxt
PROJECTS
YoutubeCreatorVideo — video-creation automation platform
End-to-end pipeline for generating YouTube videos from a topic to a finished file.
• Designed the full pipeline: script generation via OpenAI → speech synthesis → visual sourcing
(Pexels/Pixabay/Wikimedia) → subtitles → FFmpeg rendering → thumbnails and metadata.
• Integrated 4+ independent TTS engines (Piper, Silero, Chatterbox, a local Qwen3-based voice clone) with
switching between them.
• Added an asynchronous rendering-queue mode built on Celery + Redis + PostgreSQL.
dating_bot — Telegram dating bot
Full product cycle: onboarding, matches, moderation, admin panel.
• Implemented onboarding, swipe-based profile browsing, matches, and an authenticated admin panel on
aiogram 3 + FastAPI.
• Added automatic photo moderation via an ML model (NudeNet) and anti-spam/rate-limiting.
• Designed an async data schema (SQLAlchemy async + PostgreSQL + Alembic) and hardened security: CSRF
tokens, HSTS, audit logging.
AlertPumpLevel — real-time market monitoring system
A crypto-futures screener with a layered architecture and live data.
• Built a layered architecture (exchange / core / services / web / db) collecting live Binance data over WebSocket,
with a level/VWAP-based signal engine.
• Built a verification script that cross-checks the engine's signals against a reference backtest API.
• Covered core logic with pytest tests; data schema on SQLAlchemy with Alembic migrations.
5mMyXGBoost — ML pipeline for price prediction
A CLI tool covering the full model lifecycle.
• Built a CLI with train / prepare-dataset / backtest / live / chart subcommands covering the full model lifecycle.
• Engineered features based on VWMA/Bollinger Bands; trained and tuned XGBoost and LightGBM via Optuna.
• Implemented live prediction on top of a WebSocket stream, with visualization served through FastAPI.
OTHER PROJECTS
• AccountingSoftware — an accounting-document generator (FastAPI + OpenAI), wrapped in a C#/.NET launcher
for installation on Windows 7 with no technical knowledge required.
• WorkParser — a work.ua job/resume scraper respecting robots.txt, with heuristic resume scoring and a visual
dashboard over the collected data.
• music_bridge — a second swipe-matching Telegram bot (for musicians) with an admin panel including a SQL
console.
• Qwen3TTS / SoundsGenerate — extracted TTS and sound generation into standalone FastAPI microservices
reused by other projects.
• ClassroomControl — a PyQt6 app for managing a classroom of PCs over a local network (teacher panel + agent
running on student machines).
• ControlServer — a Flask server for remote Windows PC control (screen lock, website blocking via the hosts file).
• backtesting — a Binance-futures crypto-strategy backtester with a pluggable strategy architecture and a
Streamlit UI.
EDUCATION
Odesa Professional College of Computer Technologies, Odesa State Environmental University — Software
Engineering, Junior Specialist diploma.
ADDITIONAL
• 30+ working pet projects in the portfolio: Telegram bots, FastAPI/Django services, ML pipelines, desktop apps,
real-time systems.
• English — B1 (Intermediate): I read technical documentation and code fluently

Yevhen Shcherbyna
Python Developer
[open contact info](look above in the "contact info" section) · [open contact info](look above in the "contact info" section) · Odesa, Ukraine, open to remote work · github.com/goldcha1n ·
t.me/goldcha1n · UA