p
playgames_land

Tamukj

@playgames_land

FullStack Developer: Python, Go, React and AI

Cazaquistão
Inglês, Russo, Cazaque
Algumas informações são exibidas no idioma inglês.
Sobre mim
Hi! I'm a Full-Stack & Systems Engineer building high-performance web apps, resilient backends, and automated trading systems. Key expertise: • Full-Stack: React (Tailwind/Vite) with Python (FastAPI) & Go (Gin) backends. • Real-Time Systems: WebSockets, async pipelines, and C++ utilities. • Algo Trading & Bots: Binance, Bybit, CCXT, ML filtering, and Telegram controls. • AI & Desktop: PySide6/Qt apps with offline AI models (Whisper/LLMs). • DevOps: Docker, Linux, and clean API architectures. I deliver clean, tested, and reliable code. Let's discuss your project!... Saiba mais

Habilidades

p
playgames_land
Tamukj
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Desenvolvimento de Bots de Negociação
I will build custom trading bot, python bybit binance api and telegram alerts
A partir deUS$ 25 /projetoMais detalhes
Chatbots baseados em regras
I will build custom python telegram bot with database and payments
A partir deUS$ 20 /projetoMais detalhes

Portfólio

Experiência profissional

Freelancing_Career

Full-Stack Developer

Freelancing Career • Freelance

May 2026 - Present • 5 mos

Developed a production-grade asynchronous algorithmic trading bot from scratch using Python, specifically tailored for crypto perpetual futures. Key Technical Highlights of the Project: • High-Performance Backend: Built a fully asynchronous system using asyncio and WebSockets to handle real-time, multi-symbol market data streams with auto-reconnect and gap-filling logic. • Advanced Signal Engine: Programmed a complex state machine to detect market structures (liquidity sweeps, fair value gaps, order blocks) utilizing Numba-JIT for fast execution and high-frequency swing detection. • Machine Learning Integration: Implemented an XGBoost classification model acting as a predictive oracle to filter trade setups based on historical and live market features. • Robust Execution & Risk Management: Coded a 1,700-line execution engine managing live state recovery, strict risk-based position sizing, trailing stop-losses, and automated break-even locks. • Backtesting & Simulation: Engineered a custom multi-timeframe backtesting framework with realistic slippage and fee simulation, validated by extensive Monte Carlo stress-testing modules. • Full-Stack Features & Monitoring: Developed a comprehensive Telegram bot interface (using aiogram) featuring inline dashboards for live performance tracking, manual controls, and automated multi-language alerts. Implemented structured asynchronous logging (JSONL) and comprehensive test suites for system stability. This project provided deep, hands-on experience in managing complex real-time backends, data engineering, and building resilient automated software.

Freelance

Desktop & AI Software Engineer

Freelance • Freelance

Jan 2025 - Present • 1 yr 9 mos

Architected and developed native cross-platform desktop applications and AI-driven automation software in Python, C++, and Qt. Key Focus Areas: • Developed responsive desktop GUIs using PySide6 (Qt) with multi-threaded event architectures and custom styling. • Embedded local offline machine learning models (OpenAI Whisper via faster-whisper/whisper.cpp) with hardware acceleration. • Built automated build pipelines, cross-platform executables (PyInstaller/packaging), and robust test suites using pytest.