class AIEngineer: def __init__(self): self.name = "Khiw Nitithadachot" self.role = "AI & Enterprise Solutions Architect" self.location = "Thailand ๐น๐ญ โ Global ๐" 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()
TypeScript Python JavaScript PHP Shell
OpenAI LangChain Anthropic NVIDIA TensorFlow Ollama
AI-Powered Physics Simulations
Complete serverless architecture with RAG-powered code generation, 3D visualization, and global edge deployment.
Physics-Informed Neural Networks DeepXDE WebGL
Free LLM Inference on Kaggle
Run Ollama/vLLM API servers in Kaggle notebooks with OpenAI-compatible endpoints.
LLM Kaggle FastAPI vLLM
Construction Site Analytics
AI-powered video analytics with NVIDIA VSS integration for safety monitoring and real-time insights.
NVIDIA Computer Vision MLOps
AI Restaurant Discovery Platform
Comprehensive platform with AI agents, geospatial analysis, and intelligent recommendations.
AI Agents Geospatial Full-Stack
Computational Fluid Dynamics
3D visualization and WebAssembly processing for fluid dynamics simulations.
CFD WebAssembly 3D Visualization
Synthetic Data Generation
Battery Remaining Useful Life prediction with Thai data center environmental simulation.
Deep Learning Simulation IoT
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โ โ
โ ๐ค AI AGENTS โ Multi-agent orchestration systems โ
โ ๐ฌ PHYSICS AI โ PINN & simulation platforms โ
โ ๐ DATA INTELLIGENCE โ RAG systems & analytics โ
โ ๐ญ ENTERPRISE ML โ Production MLOps pipelines โ
โ ๐ FULL-STACK AI โ End-to-end AI applications โ
โ โ
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"The best way to predict the future is to build it โ with AI as your co-pilot."