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Rohith Desikan
Machine Learning & Data Science - Weave Grid - Stanford University
Rohith Desikan is a seasoned software and data engineer currently working at Weave Grid, focusing on core infrastructure and data engineering for a real time EV charging platform.
With a diverse educational background, including a Master's Degree in Environmental and Systems Engineering from Stanford University, Rohith also delved into Machine Learning at The Data Incubator and pursued a Bachelor's Degree in Mechanical Engineering at the Georgia Institute of Technology.
His professional experience spans roles such as Data Scientist at Affiliated Engineers, Inc., Data Analytics Fellow at the US Green Building Council, and a Software Engineer at WeaveGrid.
Additionally, Rohith has exhibited versatility in various internships, including at Falcon Investment Advisors, Oceaneering, and as a Math Teaching Assistant and Student Researcher at the Georgia Institute of Technology.
Rohith Desikan excels in software engineering, data engineering, and machine learning, with a keen interest in leveraging machine learning for sustainability and aiding companies in maximizing the value of their data.
