class AIEngineer:
def __init__(self):
self.name = "Khiw Nitithadachot"
self.role = "AI & Enterprise Solutions Architect"
self.location = "Thailand 🇹🇭 → Global 🌍"
self.email = "khiwniti@getintheq.space"
@property
def expertise(self):
return {
"AI/ML": ["LLMs", "RAG Systems", "Computer Vision", "PINN"],
"Platforms": ["Multi-Agent Systems", "Digital Twins", "MLOps"],
"Stack": ["TypeScript", "Python", "React", "Node.js"],
"Cloud": ["AWS Bedrock", "Cloudflare", "Docker", "Serverless"]
}
def current_mission(self):
return "Building AI agents that solve real-world problems"
me = AIEngineer()
|
AI-Powered Physics Simulations Complete serverless architecture with RAG-powered code generation, 3D visualization, and global edge deployment.
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Free LLM Inference on Kaggle Run Ollama/vLLM API servers in Kaggle notebooks with OpenAI-compatible endpoints.
|
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Construction Site Analytics AI-powered video analytics with NVIDIA VSS integration for safety monitoring and real-time insights.
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AI Restaurant Discovery Platform Comprehensive platform with AI agents, geospatial analysis, and intelligent recommendations.
|
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Computational Fluid Dynamics 3D visualization and WebAssembly processing for fluid dynamics simulations.
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Synthetic Data Generation Battery Remaining Useful Life prediction with Thai data center environmental simulation.
|
┌─────────────────────────────────────────────────────────────────┐
│ │
│ 🤖 AI AGENTS → Multi-agent orchestration systems │
│ 🔬 PHYSICS AI → PINN & simulation platforms │
│ 📊 DATA INTELLIGENCE → RAG systems & analytics │
│ 🏭 ENTERPRISE ML → Production MLOps pipelines │
│ 🌐 FULL-STACK AI → End-to-end AI applications │
│ │
└─────────────────────────────────────────────────────────────────┘
