Optimizing Pre-Processing Efficiency in Data Science

Kyle Kranen is a Deep Learning Software Engineer at Nvidia. Researching, implementing, and optimizing state of the art distributed deep learning models, using mainly Pytorch and Tensorflow. He has a unique combination of skillset of both hardware and software engineering. We talked about Graph Neural Network (GNN), Temporal Fusion Transformer (TFT), time series, and other deep learning research topics and his career journey.  If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/

Daliana's Twitter: https://twitter.com/DalianaLiu

Kyle's Linkedin: https://www.linkedin.com/in/kyle-kranen/