Pooja Patil has several years of experience in the field of radar software architecture and product development. Pooja is currently working as a Radar Software Architect at Greenerwave, where they lead a team in the development of Next Generation Automotive 4D Imaging Radar. Prior to this, Pooja worked as a Technical Lead - Product Development at HARMAN India from 2019 to 2021. Pooja also has experience as an Engineer at MathWorks from 2017 to 2018 and as an Algorithm Developer at Continental from 2014 to 2017, where they worked on projects related to ADAS and radar architecture. Pooja started their career as a Researcher at the Center For Artificial Intelligence And Robotics, Drdo, in 2013.
Pooja Patil completed their education in the field of engineering and communication. Pooja obtained a Bachelor of Engineering (BE) degree in Electronics and Telecommunication Engineering from Prof. Ram Meghe Institute of Technology & Research, where they studied from 2008 to 2011. Pooja further pursued a Master of Engineering (MEng) degree in RF and Microwave Communication at Pune Institute of Computer Technology, graduating from 2012 to 2014.
In addition to their formal education, Pooja has also acquired various certifications to enhance their skills. Pooja completed courses such as "Automotive Radar - Basics to Advanced," "Autonomous Cars - Deep Learning and Computer Vision in Python," "Mastering Data Structures and Algorithms using C and C++," and "Learn MATLAB with Image Processing from Scratch" from Udemy. These certifications were obtained in March 2021 and September 2019.
Furthermore, Pooja has completed online courses in Machine Learning and Neural Networks and Deep Learning from Coursera. The specific dates of completion for these courses are not provided.
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