title: Full Stack Developer & Cybersecurity Enthusiast
focus: Applied AI/ML & Quantitative Systems
status: Building intelligent, secure, and high-frequency automated systems- π» Full Stack Development: Designing scalable web applications, robust backend microservices, and modern UI/UX.
- π‘οΈ Cybersecurity Enthusiast: Hardening architectures with SOC 2 compliance, OWASP security standards, and strict perimeter controls.
- π§ AI/ML & Deep Learning: Engineering Time-Series Transformers (PatchTST), PyTorch Lightning pipelines, and Reinforcement Learning agents.
- π Quantitative Systems: Building institutional execution engines on MetaTrader 5 (MT5) with dynamic ATR risk management.
| Domain | Technologies & Frameworks |
|---|---|
| Languages | Python, JavaScript, TypeScript, HTML5, CSS3, SQL, PowerShell |
| AI / Deep Learning | PyTorch Lightning, PyTorch, Transformers, scikit-learn, scikit-survival, SHAP |
| Quant & Trading | MetaTrader 5 API, Gymnasium, Stable-Baselines3, PufferLib |
| Backend & Web | FastAPI, Uvicorn, Node.js, REST APIs, SSE Streaming |
| Security & DevOps | SOC 2 Hardening, OWASP Security Headers, Git, Docker, Linux |
Autonomous Multi-Asset Quantitative Trading System powered by Patch Time-Series Transformers (PatchTST), PyTorch Lightning, and MetaTrader 5 (MT5) with institutional portfolio risk controllers and real-time SOC 2 telemetry.