👋 Hi, I’m @jhhlim

I’m an AI-focused Full Stack Engineer and IT professional with 10+ years of experience building automation systems across data infrastructure, CPQ platforms, and enterprise operations. My work bridges business logic, system architecture, and intelligent automation.

🧠 Current Focus I am actively developing AI-driven full stack applications leveraging:

• Python (FastAPI)
• React / Next.js
• OpenAI & LLM integrations
• Vector databases (pgvector / Pinecone)
• PostgreSQL
• Google AI Studio

I am particularly interested in applying AI to:

• CPQ and sales automation
• Supply chain optimization
• Intelligent document and workflow automation
• Enterprise knowledge systems (RAG architecture)

🏗 Background I specialize in process automation including:

• BOM automation
• Proposal documentation generation
• Drag-and-drop product visualization systems
• Automated cabling logic for enterprise storage systems
• Distribution center warehouse instruction automation

I have worked extensively in the Configure Price Quote (CPQ) ecosystem using: Java, JavaScript, Node.js, Salesforce (Admin + Apex), Visualforce, Oracle, MSSQL, PostgreSQL, FPX, CallidusCloud, PROS, Conga, Apttus, C/C++, and Python.

I collaborate cross-functionally with product, pricing, finance, supply chain, and engineering teams across the product lifecycle from general availability to EOL.

🎓 Education

• B.A. Economics – UC Berkeley
• B.S. Computer Science – Oregon State University

🚀 Current Development Focus

• AI application engineering
• Retrieval-Augmented Generation (RAG) systems
• SaaS architecture and scalable backend systems
• Intelligent automation within enterprise platforms

💞️ Open to collaborate on:

• AI for enterprise automation
• CPQ modernization
• Supply chain AI
• Data infrastructure tools
• Climate tech optimization systems

See my portfolio at: https://enterprise-alchemy-folio.lovable.app