Cedric Mekeirle

Built a multiclass mug classifier using a 4-layer CNN, evaluated the model for the best architecture, achieved 85% accuracy.

QA testing with Azure DevOps, executing of simple CRUD and more advanced flow tests, writing of test plans for future students.

Compared audio compression models, analyzed dataset, retrained models, achieved high compression.

Compared Q-Learning, MCTS, and Min-Max for checkers by having them play against each other.

Direct contact with clients, understanding and helping them solve problems, assisting with digital banking issues.