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Vladyslav
Backend-програміст
- Considering positions:
- Backend-програміст, Python engineer
- Age:
- 21 years
- City of residence:
- Chernivtsi
- Ready to work:
- Remote
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Vladyslav Bukhinskij
Backend Engineer
Chernivtsi, Ukraine | [open contact info ](look above in the "contact info" section) | [open contact info ](look above in the "contact info" section) | github.com/AsusPrime
Availability
Part-time / contract only — up to 15–20 hours per week, fully remote, flexible hours. Not looking for a full-time
position.
Summary
Backend engineer with hands-on experience building and operating high-load distributed systems and software for
trading on crypto exchanges (Binance, Bybit). Comfortable owning a service end to end — from design and data
ingestion to deployment and monitoring.
Experience
Backend Engineer, wtb.trade — algorithmic trading platform – Remote Feb 2025 – present
• Develop and support several Python microservices (FastAPI, SQLAlchemy/asyncpg, PostgreSQL, Redis) in a plat
form that runs live and simulated trading strategies on crypto exchanges.
• Built real-time market data pipelines on top of exchange WebSocket/REST APIs and services that evaluate market
conditions and trading signals.
• Design solutions from scratch for loosely defined problems — from idea and architecture to a working service in
production.
• Apply different approaches (statistical, rule-based, data-driven) depending on the task rather than a single fixed
toolkit.
• Deploy services with Docker on Render; CI with GitHub Actions; monitoring with Sentry and structured logging;
tests with pytest.
Projects
AI Agent Assistant System Mar 2026 – June 2026
Bachelor’s thesis — multi-agent assistant that controls a PC and cloud services through natural language.
• Orchestrator routes requests to specialised agents (researcher, writer, system controller) built with PydanticAI on
Gemini/OpenAI/Ollama models; tools are plugged in via MCP.
• Human-in-the-loop confirmation of every action and PII masking before data leaves the machine; FastAPI backend
with a PySide6 desktop UI.
My Money Aug 2026 – present
Personal budgeting app with investment-portfolio tracking in progress.
• FastAPI, SQLAlchemy 2 (async), PostgreSQL, Alembic, APScheduler for exchange-rate sync, pytest; React + Vite
frontend shipped as web, PWA and Tauri macOS app.
ai-messager Apr 2026
Local MCP server that lets an agent (e.g. Claude Code) use web-based LLM chats (ChatGPT, Gemini) as tools via
Playwright — no API keys, one-time browser login.
Skills
Languages: Python, SQL, TypeScript
Backend: FastAPI, SQLAlchemy 2 (async), asyncpg, Pydantic v2, Alembic, FastStream, APScheduler, Dramatiq, httpx,
websockets, pytest, ruff
Data & infra: PostgreSQL, Redis (pub/sub), Docker, Render, GitHub Actions, Sentry, Loguru, Linux
Frontend (basic): React, TypeScript
Domain: Crypto exchange APIs (Binance, Bybit), TradingView webhooks, backtesting and simulation, market data
pipelines
Education
Yuriy Fedkovych Chernivtsi National University, BSc in Computer Engineering Sept 2022 – June 2026
Institute of Physical, Technical and Computer Sciences
Backend Engineer
Chernivtsi, Ukraine | [
Availability
Part-time / contract only — up to 15–20 hours per week, fully remote, flexible hours. Not looking for a full-time
position.
Summary
Backend engineer with hands-on experience building and operating high-load distributed systems and software for
trading on crypto exchanges (Binance, Bybit). Comfortable owning a service end to end — from design and data
ingestion to deployment and monitoring.
Experience
Backend Engineer, wtb.trade — algorithmic trading platform – Remote Feb 2025 – present
• Develop and support several Python microservices (FastAPI, SQLAlchemy/asyncpg, PostgreSQL, Redis) in a plat
form that runs live and simulated trading strategies on crypto exchanges.
• Built real-time market data pipelines on top of exchange WebSocket/REST APIs and services that evaluate market
conditions and trading signals.
• Design solutions from scratch for loosely defined problems — from idea and architecture to a working service in
production.
• Apply different approaches (statistical, rule-based, data-driven) depending on the task rather than a single fixed
toolkit.
• Deploy services with Docker on Render; CI with GitHub Actions; monitoring with Sentry and structured logging;
tests with pytest.
Projects
AI Agent Assistant System Mar 2026 – June 2026
Bachelor’s thesis — multi-agent assistant that controls a PC and cloud services through natural language.
• Orchestrator routes requests to specialised agents (researcher, writer, system controller) built with PydanticAI on
Gemini/OpenAI/Ollama models; tools are plugged in via MCP.
• Human-in-the-loop confirmation of every action and PII masking before data leaves the machine; FastAPI backend
with a PySide6 desktop UI.
My Money Aug 2026 – present
Personal budgeting app with investment-portfolio tracking in progress.
• FastAPI, SQLAlchemy 2 (async), PostgreSQL, Alembic, APScheduler for exchange-rate sync, pytest; React + Vite
frontend shipped as web, PWA and Tauri macOS app.
ai-messager Apr 2026
Local MCP server that lets an agent (e.g. Claude Code) use web-based LLM chats (ChatGPT, Gemini) as tools via
Playwright — no API keys, one-time browser login.
Skills
Languages: Python, SQL, TypeScript
Backend: FastAPI, SQLAlchemy 2 (async), asyncpg, Pydantic v2, Alembic, FastStream, APScheduler, Dramatiq, httpx,
websockets, pytest, ruff
Data & infra: PostgreSQL, Redis (pub/sub), Docker, Render, GitHub Actions, Sentry, Loguru, Linux
Frontend (basic): React, TypeScript
Domain: Crypto exchange APIs (Binance, Bybit), TradingView webhooks, backtesting and simulation, market data
pipelines
Education
Yuriy Fedkovych Chernivtsi National University, BSc in Computer Engineering Sept 2022 – June 2026
Institute of Physical, Technical and Computer Sciences
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