Kamal Kuzhinjedathu
Backend EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.