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Software Development Engineer at Amazon Robotics - Humanoid Robotics
Senior Robotics Engineer with 10+ years in robotics, AI, and autonomous systems. Proven ability to combine deep technical expertise with solution delivery—guiding architecture, integration, and simulation strategies for advanced robotics applications. Expert in ROS2, NVIDIA Isaac Sim, NVBlox, Nav2, computer vision, reinforcement learning, and sim2real transfer. Patent-holder, published researcher, and cross-functional leader experienced in delivering scalable mapping, navigation, and robot learning pipelines for humanoids and autonomous platforms. Skilled at leading workshops, technical enablement, and co-development, translating complex architectures into actionable roadmaps for both technical and executive audiences.
Udacity
Nanodegree, Self Driving Car
January 1, 2017 – Present
Nanyang Technological University Singapore
Master of Science (M.Sc.), Embedded Systems
January 1, 2009 – January 1, 2011
National Institute Of Technology, Silchar
Bachelor of Technology (B.Tech.), Electronics and Telecommunication
January 1, 2003 – January 1, 2007
Amazon Fulfillment Technologies & Robotics
Software Development Engineer - Humanoid For Consumer Robotics
November 1, 2019 – Present
Sunnyvale, California, United States
Volvo Car Group
Autonomous Driving Engineer/ Deep Learning and Computer Vision Engineer
June 1, 2017 – November 1, 2019
Sunnyvale, California, United States
Continental Automotive Pvt Ltd
Senior Software Engineer / Technical Expert
January 1, 2011 – January 1, 2017
Singapore / Germany
A*STAR - Agency for Science, Technology and Research
Intern (Research Student)
May 1, 2010 – September 1, 2010
Singapore
Aricent
Software Engineer
August 1, 2007 – August 1, 2008
Gurgaon, Haryana
Prompt Engineering Specialization
Coursera
June 24, 2026 – Present
Introduction to Computer Vision | Mastering OpenCV in Python
Udemy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive background is heavily focused on embedded systems, robotics, and software development, which is a significant mismatch for a 'Data Analyst' target role. While there's exposure to AI/ML, the core experience is not in data analysis, business intelligence, or traditional data science. This indicates a low cultural fit for the specified target role.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving (performance/memory optimization) and ownership (single-threaded owner for robotics stack). However, specific soft skills like teamwork, leadership, or adaptability are not explicitly detailed in the provided data.