My name is Gihun Kim. I am an AI Engineer building AI-powered products end-to-end — from data pipelines and model integration to production-ready web applications. 👨💻
I enjoy combining LLMs, retrieval systems, and modern web stacks to turn raw data into useful, real-world products. 🔍
I am especially interested in LLM application architecture, RAG / agents, data platforms for AI, and shipping AI features on the web (Next.js + Vercel). ✨
Important
Feel free to explore my work in my GitHub repositories!
A brief overview of the technologies I have hands-on experience with 🧩
🤖 AI / LLM
🌐 Web / App (AI Product)
⚙️ Data Engineering
☁️ Cloud & Infra
🐍 Language & DB
Here are the projects I have worked on. Feel free to explore more in my GitHub repositories. 🌟
🛒 User Behavior Analytics Pipeline
An end-to-end clickstream analytics pipeline for e-commerce — from ingestion and processing to warehouse analysis and dashboarding.
Tech Stack: Airflow Spark GCP BigQuery dbt Terraform Looker Studio Docker Python
Pipeline Flow:
Kaggle API → GCS (raw) → Apache Spark → GCS (processed) → BigQuery → dbt → Looker Studio
Key Highlights:
- Automated GCP resource provisioning with Terraform
- Workflow orchestration with Airflow + SparkSubmitOperator
- 3-stage funnel data modeling with dbt (view → cart → purchase)
- Looker Studio dashboard visualizing conversion rates by category / brand
📁 Other Projects
📜 Data Engineering & Cloud
💻 Software Engineering & Web
📊 Data Science & Analytics
🏆 Other Certificates
For more details, feel free to visit my LinkedIn Profile!
Tip
Feel free to connect with me or learn more about me on the following platforms:
Looking forward to connecting & collaborating! 🚀