class Qtusdev:
name = "Qtusdev"
location = "Ho Chi Minh City, Vietnam 🇻🇳"
timezone = "UTC+7"
domains = [
"🤖 AI Agent & LLM Systems (RAG, Tool-use, Multi-agent)",
"🌐 Full-Stack Web Development (SaaS, APIs, Real-time)",
"📈 Quant Finance & Algorithmic Trading (MQL5, MT5)",
"🎮 Game Development (Unity, Unreal, Godot, Shaders)",
"🧮 Data Engineering & Science (ETL, Streaming, DWH)",
"🔌 Embedded Systems & IoT (ESP32, FreeRTOS, Edge AI)",
"⚙️ Systems Programming (Low-latency, Distributed, CLI)",
]
languages = [
# Systems & Performance
"C", "C++", "Rust", "Zig", "Assembly",
# General Purpose
"Python", "Go", "Java", "Kotlin", "Swift",
# Web & Scripting
"TypeScript", "JavaScript", "Dart", "Ruby",
# Finance & Data
"MQL5", "R", "Julia", "Scala", "SQL",
# Specialty
"C#", "Lua", "CUDA", "GLSL", "Haskell",
] # 22+ languages
def fun_facts(self) -> list:
return [
"☕ Fueled by coffee and market close candles",
"📚 Currently reading: Advances in Financial ML — López de Prado",
"🌙 Peak coding hours: 10 PM – 3 AM",
"🎯 Goal: Build a fully autonomous trading ecosystem",
]| 🤖 AI Agent & LLM | 🌐 Web & Backend | 🎮 Game Dev | 📈 Quant & Finance |
|---|---|---|---|
| Multi-agent orchestration | Full-stack SaaS platforms | Unity / Unreal games | Expert Advisors (MT5) |
| RAG & vector search | REST & GraphQL APIs | Procedural generation | DCA & grid strategies |
| Tool-use / function call | Real-time WebSocket apps | ECS architecture | Volume Action scalping |
| LLM fine-tuning (LoRA) | Microservice systems | Shader / VFX programming | Walk-forward backtesting |
| 🧮 Data Engineering | 🧠 ML & AI Research | 🔌 Embedded & IoT | ⚙️ Systems & Infra |
|---|---|---|---|
| ETL / ELT pipelines | Deep learning models | ESP32 / STM32 firmware | Low-latency services |
| Stream processing | Computer vision (CV) | MQTT / CAN Bus / Modbus | Distributed systems |
| Data lake / warehouse | NLP & transformers | FreeRTOS / Zephyr RTOS | CLI tools in Go / Rust |
| DAG orchestration | Time-series forecasting | Edge AI inference (TFLite) | Kubernetes operators |
| 🎯 Strategy | 📐 Architecture | 🔬 Research |
|---|---|---|
| Volume Action Scalping | Multi-mode Grid (BUY/SELL/Dual) | Tick Data & Market Microstructure |
| DCA Basket Trading | Anti-Overlap State Machine | Monte Carlo & Walk-forward Opt |
| Momentum & Mean Reversion | Dynamic Lot Sizing Engine | Feature Engineering for Quant ML |
| Trend-filtered Entries | Dark-mode GUI Dashboard (MT5) | Regime Detection & Correlation |
