Head of AI, India @ Armada | ex-Amazon | ML leader and innovator
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PhD in the area of Machine Learning, from IIT Bombay and Monash University, Melbourne. 12+ years of R&D experience at Amazon in different role settings. Contributions include applying machine learning approaches for solving high impact business problems, inventing new algorithms for efficiently solving complex business problems, initiating disruptive programs to solve future customer needs and leading strategic initiatives. Published research work in several reputed venues such as AAAI, ILP, CIKM etc. 18 patents granted and several pending.
IIT Bombay and Monash University
Doctor of Philosophy (PhD), Computer Science and Engineering
January 1, 2008 – January 1, 2013
Armada
Head of AI, India
February 1, 2025 – Present
Thiruvananthapuram, Kerala, India · On-site
Amazon
Senior Applied Scientist
May 1, 2024 – January 1, 2025
Seattle, Washington, United States · On-site
Career Break
Career transition
July 1, 2023 – April 1, 2024
Thiruvananthapuram, Kerala
Amazon
Head of Applied Science, Amazon Studios
December 1, 2021 – July 1, 2023
Amazon
Applied Science Manager
January 1, 2021 – November 1, 2021
Amazon
Speedboat Captain
January 1, 2020 – December 1, 2020
Amazon
Sr. Scientist, Machine Learning
December 1, 2017 – December 1, 2019
Amazon
Machine Learning Scientist II
November 1, 2015 – November 1, 2017
Amazon
Machine Learning Scientist II
October 1, 2014 – November 1, 2015
Amazon
Machine Learning Scientist I
February 1, 2013 – September 1, 2014
Honeywell Technology Solutions, Inc.
Intern
January 1, 2008 – July 1, 2008
Bangalore
Cultural Fit Analysis
The candidate has a strong background in large, structured organizations (Amazon, Honeywell) and has held significant leadership roles. The target role is 'Data Analyst', which is a significant shift from 'Head of AI' or 'Applied Scientist' roles. While the underlying analytical skills might be transferable, the role alignment is not direct, suggesting a potential mismatch in career trajectory or expectations. The lack of diverse project descriptions outside of Amazon limits the assessment of adaptability to different organizational cultures or problem domains. The career break also needs to be understood in the context of cultural fit and motivation for a Data Analyst role.
Soft Skills & Operational Fit
The candidate's career progression at Amazon, including leadership roles, suggests strong operational fit and the ability to manage complex projects and teams. The description for the Amazon Senior Applied Scientist role is brief, limiting a deeper assessment of communication clarity in technical contexts. The career break and recent role changes might indicate a period of transition or re-evaluation.