DAVinCI LABS Enterprise AutoML
AILYS · ML Scientist / Senior ML Scientist · 2017–2020 — Built enterprise AutoML capabilities and delivered predictive modeling across 10+ engagements.
Product problem
Financial-services teams needed repeatable ways to prepare data, discover structure, build predictive models, and interpret results without rebuilding the entire machine-learning workflow for every engagement.
Role and ownership
At AILYS, formerly Solidware, I progressed from Machine Learning Scientist to Senior Machine Learning Scientist while combining DAVinCI LABS product development with hands-on delivery across more than ten on-site engagements.
What I shipped
- Developed automated unsupervised-learning capabilities for the AutoML platform.
- Built and trained predictive models for financial-services use cases.
- Worked with client teams across Korea, Japan, and Vietnam.
- Delivered technical education to help client teams use and evaluate the platform.
Engineering depth
AutoML, unsupervised learning, automated feature engineering, model analysis, predictive modeling, client-side validation, and technical enablement.
Public outcome and evidence
The work contributed to DAVinCI LABS’ enterprise AutoML capabilities and is reflected in three Korean patents covering unsupervised learning, model analysis, and automated feature engineering: 10-2273868, 10-2273867, and 10-1976689.