Machine Learning Engineer
- Converted client database schema into YAML structure to increase efficiency of other departments- Utilized a python microservice using gRPC to map client databases with pyORM onto the C# platform- Developed form similarity model for an internal platform tool to build a collection of ontologies- Transformed metadata and conducted analysis using similarity metrics, visualized as a react component- Integrated Sherlock deep learning model, conducting data pre-processing and featurization- Worked on developing composable AI using pre-trained AI models to extract and analyze similar layers’ activations from transformer and neural network models- Handled installation of Linux, NVIDIA Drivers, CUDA and cuDNN on the team’s local systems