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",
]| 🧮 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 |
