"I speak Python fluently, SQL natively, and I'm working on Korean... π°π· (turns out Korean is much is harder)"
- Senior Data & AI Engineer with a background as a Senior Data Scientist
- Building end-to-end AI solutions from ETL pipelines to production APIs (+ sometimes a bit frontend)
- Translating complex business problems into scalable data & AI architectures
- Mentoring junior teammates and actively sharing knowledge across the company
- Making technical concepts accessible to non-technical stakeholders
Core Languages & Frameworks
languages = ["Python", "SQL", "Bash", "TypeScript"]
ai_ml = ["OpenAI", "Scikit-learn", "Hugging Face", "TensorFlow"]
data_engineering = ["Sling", "Airflow", "dbt", "Kafka", "Apache Spark"]
Cloud & Infrastructure
- βοΈ Cloud Platforms: AWS, Azure, GCP
- ποΈ Databases: DuckDB, PostgreSQL, MongoDB
- π³ DevOps & MLOps: Docker, GitHub Actions, MLflow, AWS SageMaker
- ποΈ Infrastructure as Code: OpenTofu/Terraform, Ansible, CloudFormation
Specialized Skills
- π€ GenAI & Vector Search: RAG systems, vector databases, retrieval architectures
- β‘ API Development: FastAPI, REST API design
- π Automation: CI/CD pipelines, workflow orchestration
- π Data Visualization: Evidence, AWS QuickSight, Tableau
Building a comprehensive translation system with:
- Translation memory & retrieval systems
- AI-powered evaluation (AI as a judge)
- REST API architecture deployed on Azure
- End-to-end MVP successfully delivered
- Built first ML prototype in the company I worked for to predict reversals using domain expertise
- Combined multiple data sources, derived features & targets (labels) and made XGBoost do its magic
- Leveraged cross-functional knowledge (Data Engineering + Data Science)
- Reduced model deployment time from 1+ week to 3 days
- Automated evaluations with custom Python package
- Enhanced GitLab workflows and CI/CD processes
- π Korean Food Enthusiast: My wife is Korean, and I'm convinced Korean cuisine is the ultimate fuel for coding sessions
- π£οΈ Language Goals: Fluent in Python & SQL, intermediate in TypeScript, beginner in Korean (νκ΅μ΄λ μ΄λ €μμ! π )
- β Philosophy: Great data solutions are like great Korean BBQ - they bring people together and solve real problems
"The best models aren't just technically soundβthey solve real problems and create genuine value. Whether it's predicting business outcomes or building the next generation of AI systems, I'm here to turn data into impact."
β Fun Challenge: If you can help me debug my Korean pronunciation as easily as I debug Python code, let's chat! π