Sr. Deep Learning Engineer | Perception, ADAS, Computer Vision | NYU Courant
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Delhi College of Engineering
Bachelor's degree, Mathematics and Computer Science
N/A – Present
New York University
Master's degree, Computer Science
N/A – Present
Qualcomm
Senior Deep Learning Engineer
May 1, 2024 – Present
San Diego, CA · On-site
ISEE
Perception Engineer
February 1, 2023 – May 1, 2024
Boston, Massachusetts, United States
ISEE
Research Intern - Perception
June 1, 2022 – February 1, 2023
Boston, Massachusetts, United States
NYU Courant Institute of Mathematical Sciences
Graduate Teaching Assistant
September 1, 2021 – July 1, 2022
NYU Courant Institute of Mathematical Sciences
Graduate Student
January 1, 2021 – December 1, 2022
Nanyang Technological University
Research Engineer
September 1, 2019 – May 1, 2021
Singapore
NatWest Group
Software Developer
July 1, 2018 – August 1, 2019
Gurgaon, India
Indraprastha Institute of Information Technology, Delhi
Research Assistant
December 1, 2017 – November 1, 2018
New Delhi Area, India
Stanford University
Leader - Stanford Scholar Initiative
March 1, 2017 – May 1, 2018
Indian Statistical Instiute, Kolkata
Research Intern, Machine Learning Unit
December 1, 2016 – January 1, 2017
Kolkata
Innervate
Co-Founder
March 1, 2016 – June 1, 2018
New Delhi Area, India
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Deep Learning, Computer Vision, and AI/ML research, with a brief stint in NLP. While this demonstrates depth in a specific area, the target role is 'Backend Engineer'. There is limited explicit experience in traditional backend engineering (e.g., distributed systems, API design, database management, specific backend frameworks like Spring Boot, Node.js, Go, etc.). This suggests a potential mismatch with a general backend engineering role, though their strong technical foundation could allow for a pivot. The diversity of projects is within the AI/ML domain rather than across different software engineering paradigms.
Soft Skills & Operational Fit
The candidate's experience as a co-founder and teaching assistant suggests leadership, collaboration, and communication skills. Their research roles indicate problem-solving and analytical abilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.