AI-focused Software Engineer & Quant Developer specializing in high-performance systems, market-intelligence workflows, and multi-language software architecture.
- AI & Quant Trading: Developing production-ready engines and signal collectors (Azure OpenAI, GCP).
- System & Polyglot Programming: Building core logic in C/C++ with Python business layers and Swift native interfaces.
- Data Engineering: High-performance ETL pipelines for financial analytics and feature engineering.
| Layer | Tech Stack |
|---|---|
| Languages | Python, C, C++, Swift, SQL, Bash |
| Data & AI | Pandas, Scikit-Learn, LightGBM, PyTorch, LLM Integration |
| Frontend/Desktop | SwiftUI, Tkinter, Flask |
| Cloud/Infra | GCP, Azure, Docker, GitHub Actions |
- DevMemo: A polyglot system (C/SIMD + Python + Swift) for memory management and auditing.
- CarbonDash: Native macOS system monitor with integrated AI assistant, built using SwiftUI.
- library: Professional C++17 bilingual command-line system.
- quant-platform-windows: Production-ready AI quant platform with multi-strategy engines and cloud integration.
- TrendRadarAI: Automated market-intelligence workstation for signal collection and report generation.
- analysis-system: Compact ETL & ML pipeline for alternative data analytics.
I'm currently focused on making my systems more portable and bridging the gap between low-level performance and high-level AI logic.