Built a platform for researchers to train ML models in the cloud.

* Developed backend microservices that provide REST and gRPC APIs in Python and Go for cloud native machine learning based applications

* Developed tools to clean, validate, and ingest batches of sensor data for model training

* Integrated ML models and fuzzy logic systems into production, in collaboration with Data Scientists

Developed automated testing suite to quickly ensure UI and API quality

Interpreted and converted manual test cases into automated smoke suite using Java, Cucumber, and Selenium

Worked in an Agile environment