'm an AI engineer and IT infrastructure specialist with over 15 years of experience building systems that actually run in production. My current focus is designing and deploying AI-powered workflow automation — the kind that replaces manual, document-heavy processes with intelligent pipelines that integrate directly into the tools businesses already use. At Inno Foods, I built a complete AI document intelligence system from scratch: orchestrating LLMs with Dify, running Qwen locally under Ollama, and integrating structured outputs into Odoo ERP, SharePoint, and Microsoft Teams via REST APIs and webhooks — all self-hosted for data sensitivity. I also built a computer vision pipeline using Qwen3-VL for real-time production line analysis, an MCP-based AI assistant using React, TypeScript, and Flask, and an AI-driven production scheduling system pulling live ERP data. My stack centers on Python, with hands-on experience in TensorFlow, PyTorch, Flask, Django, PostgreSQL, and Docker. I work across the full delivery lifecycle — from requirements and architecture through deployment and documentation — and I'm comfortable operating independently or as part of a distributed team. What sets me apart is the combination of deep infrastructure knowledge and applied AI engineering. I don't just build models — I build the systems around them that make them reliable, maintainable, and genuinely useful to the business. I hold certifications in cybersecurity (ISC2, Microsoft, CompTIA) and a Master's in Computer Engineering from Seoul National University. I'm based in British Columbia, Canada, and available for remote freelance engagements.…'m an AI engineer and IT infrastructure specialist with over 15 years of experience building systems that actually run in production. My current focus is designing and deploying AI-powered workflow automation — the kind that replaces manual, document-heavy processes with intelligent pipelines that integrate directly into the tools businesses already use. At Inno Foods, I built a complete AI document intelligence system from scratch: orchestrating LLMs with Dify, running Qwen locally under Ollama, and integrating structured outputs into Odoo ERP, SharePoint, and Microsoft Teams via REST APIs and webhooks — all self-hosted for data sensitivity. I also built a computer vision pipeline using Qwen3-VL for real-time production line analysis, an MCP-based AI assistant using React, TypeScript, and Flask, and an AI-driven production scheduling system pulling live ERP data. My stack centers on Python, with hands-on experience in TensorFlow, PyTorch, Flask, Django, PostgreSQL, and Docker. I work across the full delivery lifecycle — from requirements and architecture through deployment and documentation — and I'm comfortable operating independently or as part of a distributed team. What sets me apart is the combination of deep infrastructure knowledge and applied AI engineering. I don't just build models — I build the systems around them that make them reliable, maintainable, and genuinely useful to the business. I hold certifications in cybersecurity (ISC2, Microsoft, CompTIA) and a Master's in Computer Engineering from Seoul National University. I'm based in British Columbia, Canada, and available for remote freelance engagements.WWWW…