Machine Learning Engineer at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Interested in opportunities in the field of Computer Vision, Machine Learning and Deep Learning.
University of Maryland
M. Engineering Robotics, Masters
January 1, 2017 – January 1, 2019
Guru Gobind Singh Indraprastha University
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering
January 1, 2011 – January 1, 2015
Amazon Fulfillment Technologies & Robotics
Machine Learning Engineer
April 1, 2025 – Present
Seattle, Washington, United States · On-site
Aigen
Senior Software Engineer
February 1, 2023 – April 1, 2025
udelv
Senior Robotics Engineer
October 1, 2022 – January 1, 2023
udelv
Computer Vision Engineer
July 1, 2019 – December 1, 2022
Udelv
Robotics Intern (Perception)
February 1, 2019 – May 1, 2019
San Francisco Bay Area
udelv
Robotics Intern (Perception)
May 1, 2018 – August 1, 2018
San Francisco Bay Area
Mosler
Co-Founder and Technical Advisor
December 1, 2017 – Present
Silversparro Technologies Pvt. Ltd.
Deep Learning Engineer
April 1, 2017 – July 1, 2017
Gurgaon, India
Omnipresent Robot Tech
Research Engineer
June 1, 2015 – March 1, 2017
New Delhi Area, India
Mahindra Reva Electric Vehicles Pvt Ltd
Intern
March 1, 2015 – April 1, 2015
Bangalore
Ericsson
Intern
June 1, 2014 – July 1, 2014
Gurgaon
OST Labs Pvt Ltd
Intern
June 1, 2013 – August 1, 2013
Delhi
Cultural Fit Analysis
The candidate has worked in diverse environments, from startups (udelv, Aigen, Mosler) to large corporations (Amazon, Ericsson, Mahindra Reva). This breadth suggests adaptability to different company cultures. The co-founder role indicates an entrepreneurial spirit. The consistent focus on robotics, AI, and computer vision across multiple roles demonstrates a clear passion and alignment with the technical domain. However, the lack of detailed project descriptions makes it challenging to assess collaboration styles or specific contributions to team culture.
Soft Skills & Operational Fit
The candidate's resume highlights roles in various companies, including a co-founder position, suggesting initiative and potentially leadership qualities. The progression through roles from intern to senior engineer and ML engineer indicates adaptability and a strong work ethic. However, without specific project descriptions or behavioral assessment data, it's difficult to fully assess communication, teamwork, and stress handling capabilities. The experience at Amazon suggests an ability to operate in large, structured environments.