Farshad Bolourchifard, CEM®

Senior Technical Lead at BrainBox AI

Farshad Bolourchifard, CEM®, has a diverse work experience spanning different roles and industries. Farshad is currently working at BrainBox AI as a Dev Lead for AI HVAC Services since February 2022. Previously, they held the position of AI Monitoring Development Specialist from November 2020 to January 2022, and as a System Monitoring Engineer from January 2020 to October 2020.

Prior to their work at BrainBox AI, Farshad worked as an AI & Automation Engineer at Altran from November 2019 to February 2020. Farshad also served as a Data Scientist & Research Assistant at DataOptima Lab from 2017 to December 2019.

Farshad has gained research experience as a Research Intern at Concordia University from February 2019 to June 2019. Farshad also briefly worked as a Junior Engineer at INDUS.AI in April and May 2019.

Furthermore, Farshad has worked in different roles related to mechanical design and engineering. Farshad served as a Quality Control Inspector at PQI in 2017 and as a Research Assistant at Amirkabir University of Technology - Tehran Polytechnic from 2014 to 2016. Farshad was also the Head of Mechanical Design at K.N. Toosi University of Technology in 2014.

In addition, Farshad gained engineering internship experience at Niroo Research Institute - پژوهشگاه نیرو, where they focused on renewable energy market optimization in 2015. Farshad also worked as an Engineering Intern at IKCO گروه صنعتی ایران خودرو in 2014.

Overall, Farshad Bolourchifard, CEM® has a rich and diverse background in fields such as AI, automation, data science, research, mechanical design, and engineering.

Farshad Bolourchifard, CEM®, pursued their education in the field of Mechanical Engineering. From 2011 to 2016, they attended Amirkabir University of Technology - Tehran Polytechnic, where they obtained their Bachelor of Science degree. Following this, from 2016 to 2019, Farshad enrolled at Politecnico di Milano, where they completed a Master of Science degree in Mechanical Engineering. In 2019, they also undertook a research internship at Concordia University, focusing on Machine Learning Applications.

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