Welcome to My Blog

Hello! I’m Sokos Lee, and I’m excited to launch this technical blog where I’ll share my experiences, insights, and lessons learned from over a decade of building e-commerce systems and five years of developing AI/ML applications.

What Is This Blog About?

This blog sits at the intersection of e-commerce architecture, AI/ML engineering, and their combined application in real-world systems. If you build or operate digital commerce at scale — or you’re exploring how AI transforms it — this is the right place.

What Makes E-commerce Architecture So Complex?

E-commerce is more than just online shopping — it’s about building resilient, scalable systems that handle millions of transactions while delivering seamless user experiences. The challenge is that every layer (payments, inventory, search, checkout) compounds in complexity as traffic grows.

High-concurrency architecture design - How to build systems that scale to handle Black Friday-level traffic
Payment integration patterns - Best practices for integrating with Stripe, PayPal, and global payment providers
Microservices design - Breaking down monolithic e-commerce systems into manageable, scalable services
Cross-border commerce - Tackling the unique challenges of international e-commerce

How Is AI Transforming Software Engineering?

Artificial Intelligence is reshaping how we build software from the ground up. LLMs, vector search, and recommendation systems are no longer research topics — they’re production requirements for competitive products.

LLM application development - Practical guides for building with GPT, Claude, and other frontier models
RAG systems - Retrieval-Augmented Generation for building knowledge-based AI applications
Recommendation algorithms - From collaborative filtering to deep learning-based recommendations
AI infrastructure - Vector databases, embeddings, and the tools that power modern AI applications

Why Does E-commerce + AI Create the Biggest Opportunity?

The real leverage comes from combining commerce data with AI capabilities. Companies that do this well see compounding returns: better recommendations drive more purchases, which generate better data, which improve recommendations further.

AI-powered customer service - Building intelligent chatbots that actually help customers
Intelligent product recommendations - Using ML to increase conversion rates and customer satisfaction
Automated content generation - Leveraging LLMs to scale product descriptions and marketing copy
Smart search and discovery - Semantic search and visual search using vector databases
Fraud detection - Machine learning for security and risk management

What Can You Expect from Each Post?

I believe in practical, actionable content. Each post will include:

Real-world examples from production systems
Code samples you can actually use
Architecture diagrams and technical deep-dives
Performance considerations and optimization tips
Lessons learned from both successes and failures

What Topics Are Coming Soon?

Here’s a preview of upcoming articles:

Building a High-Performance E-commerce API with Node.js - Lessons from handling 10K+ requests per second
LLM-Powered Customer Service: From Prototype to Production - A complete guide to building AI chatbots for e-commerce
Recommendation Systems 101 - Building your first collaborative filtering engine
RAG for E-commerce: Building a Product Knowledge Base - Using vector databases for semantic product search
Payment Integration Best Practices - Everything you need to know about Stripe, webhooks, and reconciliation

Where Can You Find Me?

I’m always excited to connect with fellow engineers, especially those working in e-commerce, AI/ML, or at the intersection of both. You can find me on:

Twitter/X: @SokosLee
GitHub: sokoslee
Email: SokosLee@gmail.com

How Do You Stay Updated?

Don’t miss new articles! Subscribe via RSS to stay updated.

Thank you for visiting, and I look forward to sharing this journey with you!

Sokos Lee E-commerce Architect & AI Engineer