π― Machine Learning Engineer with 6+ years of specialized experience in recommendation systems and MLOps
π Building scalable ML infrastructure serving millions of requests for CLASS101 and MOP(LG CNS)
π Established and managed Vietnamese offshore development teams with expertise in cross-cultural technical leadership
π€ Speaker at AWS Korea User Group and Korea R User Group | Technical reviewer for O'Reilly Korea
-3776AB?style=flat-square&logo=python&logoColor=white){kind=icon}
-007396?style=flat-square&logo=java&logoColor=white){kind=icon}
-336791?style=flat-square&logo=postgresql&logoColor=white){kind=icon}
- Multi-tenant Platforms: Scalable recommendation systems for diverse user bases
- High-availability Systems: Fault-tolerant ML infrastructure with 99.9% uptime
- Distributed Data Engineering: Processing petabyte-scale datasets with Apache Spark
- Offshore Team Management: Leading cross-cultural technical teams across Asia
- Advanced MLOps: Building end-to-end ML pipelines with automated deployment
- Real-time Recommendation: Low-latency personalization systems
- π€ Speaker: AWS Korea User Group, Korea R User Group
- π Technical Reviewer: O'Reilly Korea publications
- π§ Open Source Contributor: Apache Airflow, AWS Sagemaker and other machine learnign open-sources
- πΌ LinkedIn: [www.linkedin.com/in/yong]
- π§ Email: [joshuaisland@gmail.com]
- π Tech Blog: [https://velog.io/@yonghyeokrhee/posts]
"The best recommendation system is one that feels like magic to users but runs on solid engineering principles."