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Jigar Gupta
Software Engineer, Machine Learning at Google
About
Jigar Gupta is an experienced researcher and software engineer with a strong background in machine learning, deep learning, NLP, image processing, web application development, and computer graphics. With over 5 years of relevant experience, he has worked on a variety of projects and has developed a diverse skill set that includes expertise in Java, C++, C, and Python. Jigar is also familiar with a range of machine learning tools like TensorFlow, Pandas, SciPy, and NumPy, as well as web development technologies like JSP, Servlets, AJAX, JavaScript, and BootStrap. Jigar holds a Master’s Degree in Computer Science from the prestigious Indian Institute of Technology, Bombay, where he focused on developing his skills in the field of computer science. He has worked for several top companies like Google and Yodlee, where he has held various positions such as Software Engineer, Lead Data Sciences, and currently, Software Engineer III, Machine Learning at Google. Jigar’s expertise in machine learning and deep learning has been instrumental in his work at Google, where he has been involved in developing and implementing machine learning algorithms for various projects. He has also worked on several image processing projects, where he has leveraged his skills in computer graphics to develop cutting-edge solutions. Jigar’s experience in web application development has also been valuable in his work, where he has developed web-based applications using a range of technologies. Overall, Jigar is a skilled and experienced software engineer and researcher, with a passion for developing innovative solutions using machine learning and other cutting-edge technologies. He is a strong team player and has a proven track record of delivering high-quality work.
Education Overview
• iit bombay indian institute of technology bombay
• dharmsinh desai university
Companies Overview
• yodlee
• indian institute of technology bombay
• wishtree technologies
Experience Overview
7.3 Years
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