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Applied Science Manager @ Amazon | NLP, ML, Search, Conversational AI
I am an Applied Science Manager at Amazon, where I lead a team of ML scientists and engineers in the Global Search Quality team. Our mission is to enhance the product search experience for millions of customers worldwide using advanced NLP and ML techniques. With over 15 years of experience in NLP, AI, ML, and software development, I have delivered impactful products and solutions across various domains. Before Amazon, I managed Zillow's Core NLP and Conversational AI team, launching a guided search experience and a chatbot guide for landlords. At Alexa AI, I led within the Ranking and Arbitration team, improving voice search and skill discovery for Alexa customers. I was also part of the team that built the first AWS ML service and also the first Amazon customer service chatbot and have filed multiple patents. I hold a Master's degree from Texas A&M University and a Bachelor's degree from IIT Madras. I have published several papers in top-tier conferences and journals and am fluent in English and Hindi. I enjoy learning about psychology and entrepreneurship.
Indian Institute of Technology, Madras
B.Tech., Electrical Engineering
January 1, 2001 – January 1, 2005
Texas A&M University
MS, Electrical Engineering
N/A – Present
Amazon
Applied Science Manager
April 1, 2022 – Present
Greater Seattle Area
Zillow
Principal Applied Scientist / Manager
August 1, 2019 – March 1, 2022
Seattle, Washington, United States
Amazon
Applied Scientist
July 1, 2018 – August 1, 2019
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April 1, 2015 – July 1, 2018
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Software Engineer
August 1, 2010 – July 1, 2011
Dallas/Fort Worth Area
Indian Institute of Science (IISc)
Project Assistant
December 1, 2006 – April 1, 2008
Bengaluru, Karnataka, India
Strand Life Sciences
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August 1, 2005 – December 1, 2006
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Cultural Fit Analysis
The candidate's extensive experience at Amazon and Zillow, working on large-scale, customer-facing ML products, indicates a strong cultural fit for fast-paced, data-driven environments. Their involvement in hackathons and publications suggests a proactive and innovative mindset. The breadth of experience across different ML applications (search, conversational AI, customer service bots, ML platforms) demonstrates adaptability and a diverse skill set, aligning well with a culture of continuous learning and problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills, having led multiple teams of scientists and engineers. Their experience in driving data-driven experimentation, performance analysis, and goal setting indicates a strong operational fit. The ability to recruit, onboard, and mentor team members, coupled with fostering innovation, suggests excellent soft skills for a senior role. Collaboration with cross-functional teams is also highlighted.