Karsten Cao

I am a Software Engineer with a background in frontend engineering and data science (MSDS). I bring a strong pairing of analytical skills, and creative problem-solving as highlighted from the following past work experiences.

My journey in tech began at AdColony when, during my off-time, I built multiple Python projects for example: I reverse engineered APIs and built an auto reporting system, I augmented anomoly detection systems, and I automated a clawback pipeline. From these projects I built skills of designing data systems, identifying business valued opportunities, and building maintainable internal toolings.

I trained as a Data Scientist through the Masters in Data Science (MSDS) at the University of San Francisco and at Reputation. At Reputation I worked in the NLP group of the Rep Score team where we built, tuned, and validated models and the pipelines to transform text feedback from reviews and comments into an interpretable reputation score. Beyond the analyical aspect of a data scientist, I developed skills in optimizing compute overhead by refactoring code for models, workflows, parallelized training, evaluation pipelines, and data labeling.

I worked as a Frontend Engineer in the AWS DataZone team at Amazon. I contributed to the launch, design, and implementation of DataZone for Preview and General Availability. In addition to frontend feature implementations and responsibilities, I managed operational projects necessary for such a large scale B2B data catalog service such as the website's telemetry, localizations, and health monitoring. Here I gained skills in collaborations for multiple large service teams, rapid development, and scalable design.

Below are a few projects and the technologies used. Please feel free to reach out to my email if you would like to know more about my experiences or projects, or have any questions!