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Artificial Intelligence @ Amazon
My role allows me to work at the intersection of deep learning, information retrieval, machine learning, natural language processing, optimization, and software engineering. Besides being responsible for researching some of the challenging problems related to these areas, I also productize the research insights to real-world solutions. The resulting applications are deployed across the globe to make more informed decisions. My research has been published at some of the top artificial intelligence conferences in the world — AAAI, EMNLP, ICDM, ICML, and WWW.
International Institute of Information Technology Hyderabad (IIITH)
MS in Computer Science and Engineering by Research
January 1, 2014 – January 1, 2017
Chandigarh Engineering College
BTech in Computer Science and Engineering
January 1, 2010 – January 1, 2014
Spring Dale Senior School
Senior Secondary Education
January 1, 2008 – January 1, 2010
St. Francis School, Amritsar
Secondary Education
January 1, 1996 – January 1, 2008
Amazon
Senior Applied Scientist
July 1, 2023 – Present
On-site
Amazon
Applied Scientist II
January 1, 2022 – June 1, 2023
On-site
Amazon
Data Scientist II
April 1, 2019 – December 1, 2021
On-site
Active.Ai
Research Engineer - AI
January 1, 2018 – April 1, 2019
Bengaluru, Karnataka, India · On-site
IBM Research
Research Intern
April 1, 2017 – September 1, 2017
Bengaluru, Karnataka, India · On-site
Deloitte
Data Scientist
July 1, 2014 – December 1, 2014
Hyderabad, Telangana, India · On-site
IIIT Delhi
Research Intern
May 1, 2014 – July 1, 2014
New Delhi, Delhi, India · On-site
Cultural Fit Analysis
The candidate's career trajectory is heavily focused on Data Science and Applied Science, with significant experience at Amazon. While this demonstrates strong technical capabilities, the target role is 'Backend Engineer'. There is a potential mismatch in direct experience with core backend engineering principles, system design for transactional systems, and specific backend technologies (e.g., distributed systems, microservices architecture, API design, specific programming languages beyond those used in data science). This suggests a lower cultural fit for a pure backend engineering role without further evidence of these skills.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's experience in large organizations like Amazon and IBM Research suggests an ability to work in structured environments, but specific collaboration or communication styles cannot be determined.