Mlops Research Intern
Visiting Scholar, Team Leader, Machine Learning Engineer· Selected as one of fifteen students among undergraduate students in South Korea for a program funded by the government, conducting a research project· Served as a team leader of an MLOps project, collaborating with students at Purdue University· Suggested the DL pipeline which preprocesses 1,028 images, a dataset manually collected from the local farm, using SAM and evaluates models devised and fine-tuned for the binary classification of Western poison ivy to address the change of the plant depending on the season· Set development environments for ML models including both the acceleration of three NVIDIA RTX A6000 GPUs on the VMware type 1 hypervisor machine and Kubeflow on Azure Cluster, accomplishing two different machine learning teams working on the same machine with independent environment· Wrote the research paper as the first author accepted by the IEEE AIMHC Conference
