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Senior Software Engineer, Google DeepMind
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Assessing your cultural and operational fit
Specialties: Researching and developing applied deep learning/machine learning systems. Interests: Machine Learning, Deep Learning, Computer Vision, Pattern Recognition. Patent/s: Check below Technical Skills: Programming languages/Tools: C, C++, OpenCV, Python, torch7, Pytorch, Java. Operating System/Software: Linux/Ubuntu. Other: Amazon Web Services (EC2, S3, SQS)
University at Buffalo (State University of New York)
Master of Science, Computer Science
January 1, 2009 – January 1, 2011
University of Pune, Rajarshi Shahu College of Engineering (RSCOE)
Bachelor of Engineering, Computer Engineering
January 1, 2004 – January 1, 2008
Google DeepMind
Senior Software Engineer, Google Deepmind
April 1, 2024 – Present
New York, United States
Senior Software Engineer, Google Research
April 1, 2018 – March 1, 2024
Greater New York City Area
Eight
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Element Inc
Research Engineer
October 1, 2012 – December 1, 2016
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State University of New York
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February 1, 2012 – September 1, 2012
University at Buffalo
Vision and Perceptual Machines Lab, University at Buffalo
Research Assistant
May 1, 2010 – January 1, 2012
University at Buffalo, Buffalo, NY, USA
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June 24, 2026 – Present
Sololearn SQL
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AI for Good Specialization
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Cultural Fit Analysis
The candidate's career trajectory, moving from academic research to industry leaders like Google DeepMind, suggests a strong drive for innovation and working on cutting-edge problems. Their involvement in diverse projects, from biometric verification to large-scale image analytics, indicates adaptability and a broad interest within the Computer Vision domain. The certifications in 'AI for Good' specialization also hint at an interest in ethical AI and societal impact, which could align well with a forward-thinking organizational culture.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving research and development, suggesting strong problem-solving, analytical thinking, and independent work capabilities. Experience in developing libraries and systems indicates an ability to translate research into practical applications. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided descriptions.