Cha Minkyoo
South Korea, Gibraltar
Summary
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SeniorEugene Cha is a Machine Learning Engineer with 11 years of experience building production ML systems and data platforms that drive business impact, from POC data-versioning infrastructure at NAVER to end-to-end sentiment and propensity modeling at Procter & Gamble. He blends strong Python and statistical modeling skills with production expertise in Kubernetes, Spark, Airflow, and cloud services to shorten model turnaround and scale analytics (e.g., halving model iteration time and enabling automated deployment pipelines). His specialties include NLP, marketing analytics, and brand monitoring, backed by hands-on work deploying Kubeflow pipelines and streaming ETL into Elasticsearch. Trained in molecular biology and analytical chemistry, he brings a scientist’s rigor to ill-defined problems and a proven ability to convert experimental insights into measurable business outcomes. Based in Anaheim, he thrives in learning-focused environments and has repeatedly led cross-functional teams to adopt data-driven decision processes.
11 years of coding experience
Github Skills (22)
go-language10
request-context10
genesis9
blockchain9
redis8
meta7
ethereum7
nest6
nestjs5
nodejs4
sdk4
frontend4
react4
javascript3
polars3
Programming languages (10)
Github contributions (5)
medibloc/nestjs-request-context
Dec 2020 - Jul 2025
NestJS Request Context using AsyncLocalStorage
Contributions:1 review in 4 years 7 months
nestnestjsrequest-context
cl9200/go-medibloc
Jun 2018 - Oct 2020
Blockchain developed from MediBloc, using Go language.
Contributions:1 PR, 8 pushes, 1 branch in 2 years 4 months
golangblockchain-platformblockchaingo-languagemedibloc
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