Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Perception @ Waymo | ex-Amazon | ex-Microsoft
Kamal Kuzhinjedathu is a Machine Learning Engineer and pragmatic leader with 17 years of experience (Microsoft, Amazon) shipping CV/ML products. Kamal’s breadth of experience includes Deep Learning-based CV (Amazon AWS, Amazon Robotics, Microsoft Hololens), classical computer vision (Hololens), Deep Reinforcement Learning for Robotic control (Amazon Robotics-AI), classical techniques for text understanding (Microsoft Bing), and modern Deep Learning techniques such as Large Language Models, and CV foundation models. He has 5+ years of experience managing teams of scientists and engineers at Amazon.
University at Buffalo
MS, Computer Science
January 1, 2006 – January 1, 2008
B. M. S. College of Engineering
Bachelor of engineering, Computer Science and Engineering
January 1, 2000 – January 1, 2004
Waymo
Technical Lead, Perception
December 1, 2024 – Present
Bellevue, Washington, United States
Amazon
Principal Applied Scientist - Deep Learning & Computer Vision
September 1, 2022 – December 1, 2024
Amazon
Senior Applied Scientist - Deep Learning | Robotics
March 1, 2018 – September 1, 2022
Microsoft
Principal Software Development Engineer (Hololens)
August 1, 2017 – March 1, 2018
Redmond, Wa
Microsoft
Senior Software Development Engineer (Hololens)
September 1, 2013 – January 1, 2017
Microsoft
Senior Software Development Engineer (at Bing)
March 1, 2008 – September 1, 2013
RBS Financial Markets
Software Engineer
January 1, 2005 – January 1, 2006
Infosys
Software Engineer
July 1, 2004 – August 1, 2006
Cultural Fit Analysis
The candidate has worked at top-tier technology companies (Microsoft, Amazon, Waymo) known for fast-paced, innovative environments. Their career progression from Software Engineer to Technical Lead/Principal Applied Scientist indicates a drive for growth and impact. The focus on Computer Vision and Machine Learning aligns with cutting-edge R&D, suggesting a fit for a culture that values innovation and technical excellence. However, the target role is 'Backend Engineer' while the experience is heavily skewed towards Applied Science/Computer Vision. This might indicate a potential mismatch in core domain focus, requiring further investigation into their backend engineering skills beyond ML/CV infrastructure.
Soft Skills & Operational Fit
The resume highlights roles with increasing responsibility, suggesting strong leadership and problem-solving skills. Experience in diverse, complex projects implies adaptability and a collaborative mindset. However, specific details on communication style, stress handling, or team collaboration are not explicitly provided in the given data.