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Charles Pueschel
Software Engineer, Machine Learning at Facebook
About
Charles Pueschel is an experienced Software Engineer with a strong background in Machine Learning, Python, and SQL. He is currently working at Facebook as a Software Engineer, Machine Learning, where he is responsible for developing and implementing machine learning algorithms to improve the user experience. Charles has a Master of Science (M.S.) in Chemical Engineering from the Georgia Institute of Technology, where he focused on the computational design of materials. He has over seven years of relevant experience in the IoT industry, having worked for companies such as PowerAdvocate and FacilityConnex. During his time at PowerAdvocate, Charles worked as a Senior Data Scientist, where he was responsible for developing and implementing machine learning algorithms to improve the performance and efficiency of the platform. He also played a key role in replacing a 6-year long persistent memory leak by rewriting a REST API in C++ and Java, which allowed for new engineers to be up and running in hours instead of months. At FacilityConnex, Charles worked as a Software Engineer - Data Analytics, where he was responsible for developing and implementing machine learning algorithms to improve the performance and efficiency of the platform. He also played a key role in releasing an energy monitoring module for the platform, which included building performant backend API and database queries using NodeJS. Charles is skilled in a variety of technologies, including ML, Software Engineering, SQL, Python, AWS, Java, Data Science, Research Science, Backend, and NodeJS. He is a strong professional with a demonstrated history of working in the IoT industry and has over seven years of relevant experience.
Education Overview
• georgia institute of technology
• rochester institute of technology
Companies Overview
• meta
• poweradvocate
• facilityconnex
• goodtiding software
• ames national laboratory
• oledworks llc
• sustainx
• rochester institute of technology
Experience Overview
8.6 Years
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