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ML Scientist - Amazon^3 || PhD ML IISc || Ex-InMobi, Myntra
I enjoy ML research and solving high impact problems for startups and enterprises. I am a part of the Central Machine Learning team @ Amazon, where I am working with LLMs to solve customer problems and enhance customer experience. I have worked in the industry for about 15 years in various roles (at Amazon, InMobi, Myntra, Kenome, Andromeda) in addition to 5+ years of collaborative research during & after my PhD at IISc (with NetApp, Xerox, and IBM). I have had the opportunity to work on several publications and patents during this period. I have also worked with several startups as a consultant. I am interested in and know a bit about a broad array of techniques in machine learning, Gen-AI and and NLP and a bit more about a few topics such as probabilistic graphical models and inference. Website: https://lavanyats.github.io/
Indian Institute of Science (IISc)
Doctor of Philosophy (PhD), Machine Learning
January 1, 2011 – January 1, 2016
University of Utah
MS, Computer Science (Computer Graphics Emphasis)
January 1, 2002 – January 1, 2005
Osmania University College of Engineering (OUCE)
BE (Bachelor of Engineering), Computer Science and Engineering
January 1, 1998 – January 1, 2002
Ratna Junior college
12th
N/A – Present
Amazon
Scientist@Amazon
October 1, 2024 – Present
Bangalore · On-site
Andromeda Security
Staff ML Scientist
August 1, 2023 – September 1, 2024
MachineLearningInterview.com
Founder
October 1, 2018 – Present
AiFonic Labs
Machine Learning Consulting
October 1, 2018 – July 1, 2023
KENOME
Consulting Product & ML Scientist
October 1, 2018 – September 1, 2019
Bangalore
Entrepreneur First
Founder In Residence
June 1, 2018 – November 1, 2018
Singapore
Amazon
Machine Learning Scientist
January 1, 2017 – May 1, 2018
WTC, Bangalore
Indian Institute of Science
PhD Researcher @ Machine Learning Lab, IISc
July 1, 2011 – December 1, 2016
InMobi
Technical Lead
January 1, 2010 – July 1, 2011
Myntra Jabong
Sr. Developer
February 1, 2009 – November 1, 2009
Amazon.com
Developer
April 1, 2005 – October 1, 2008
Seattle
Cultural Fit Analysis
The candidate's career trajectory, including multiple stints at Amazon, founding their own company, and consulting for various AI firms, indicates a strong drive for innovation and a comfort with diverse work environments. Their focus on building ML and Gen-AI models aligns well with a cutting-edge ML Engineer role. The breadth of experience from core ML teams to product-focused consulting suggests a versatile individual who can adapt to different organizational cultures and project demands. The lack of specific project details makes it difficult to fully assess collaboration styles or specific cultural contributions beyond general adaptability.
Soft Skills & Operational Fit
The candidate's entrepreneurial background and consulting experience suggest strong problem-solving, leadership, and communication skills. Their work at MachineLearningInterview.com indicates an ability to break down complex technical concepts and a focus on technical communication. The diverse roles from scientist to founder demonstrate adaptability and a proactive approach to career development. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.