Cane Punma

Cane Punma has a solid work experience, starting with their current position as a Deep Learning Engineer at Vannevar Labs since August 2021. Cane previously worked at Landis as a Senior Data Scientist from August 2020 to August 2021. Before that, they were a Machine Learning Scientist at PwC for five years, from August 2015 to August 2020. At PwC, Cane focused on developing an autonomous vehicle fleet management solution using reinforcement learning techniques. Cane also worked on deep reinforcement learning for trading strategy development.

Prior to PwC, Cane gained experience as an intern and team technical lead at the World Food Programme from October 2013 to August 2014, where they contributed to the development and implementation of a supply chain optimization tool. Cane also briefly worked as an Industrial Engineer at Delta Air Lines in 2013.

Overall, Cane Punma has a diverse background in machine learning, deep learning, and optimization, with notable experience in autonomous vehicle fleet management and trading strategy development.

Cane Punma graduated from the Georgia Institute of Technology in 2014 with a Bachelor of Science (BS) degree in Industrial Engineering. Additionally, Cane Punma has obtained a certification in Six Sigma Green Belt, but the details regarding the institution and the year of completion are unknown.