S Yun is a Google Cloud–certified MLOps Engineer with nine years of experience turning ML research into reliable production systems, currently building ML platforms on GCP and Vertex AI. They combine a rare interdisciplinary background—an HBSc in Psychology and Human Biology and an MMath in Computer Science—with hands-on expertise in Terraform, Airflow, Docker, MLflow, Spark, and dbt to bridge data science and devops. Their academic work in affective computing and behavioral analytics informed large-scale NLP and clustering projects that mined developer personality and sentiment from thousands of online interactions. At Badal.io and prior roles as a data engineer and teaching assistant, they’ve focused on productionizing models, designing reproducible pipelines, and educating clinicians on AI applications. Comfortable with Python, R, SQL and NoSQL, they also have research experience in model-based reinforcement learning using Bayesian nonparametrics—evidence of both practical engineering skills and deep methodological curiosity. Based in Old Toronto, they channel an interest in using AI to simplify everyday tasks and empower users into scalable, maintainable ML solutions.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Psychology Specialist, Human Biology Major, Physiology Minor, Bachelor of Science - BS, Psychology Specialist, Human Biology Major, Physiology Minor at University of Toronto
Master's degree, Computer Science, Master's degree, Computer Science at University of Waterloo
Contributions:40 pushes, 1 branch, 1 issue in 7 years
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