Sri Garimella
Backend EngineerDirector, Applied Science, AGI @ Amazon
Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Director, Applied Science, AGI @ Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a Director, Applied Science, heading the Amazon Artificial General Intelligence (AGI, Speech) teams in India and Europe. My organization is responsible for building and advancing the core multimodal LLM capabilities, and speech and natural language understanding technologies at AGI.
The Johns Hopkins University
Doctor of Philosophy (PhD), Electrical and Computer Engineering
January 1, 2009 – January 1, 2012
EPFL
Doctor of Philosophy (PhD)
January 1, 2007 – January 1, 2008
Indian Institute of Science (IISc)
Master of Engineering (M.Eng.), Signal Processing
January 1, 2004 – January 1, 2006
Amazon
Director, Applied Science, Artificial General Intelligence (AGI)
April 1, 2024 – Present
Amazon
Senior Manager, Applied Science, Alexa Speech
October 1, 2018 – March 1, 2024
Amazon
Manager, Machine Learning (Alexa Speech)
February 1, 2017 – September 1, 2018
Amazon
Senior Machine Learning Scientist
April 1, 2016 – January 1, 2017
Amazon
Machine Learning Scientist
March 1, 2014 – March 1, 2016
Amazon
Machine Learning Scientist
September 1, 2012 – February 1, 2014
Research Intern
January 1, 2011 – January 1, 2011
Johns Hopkins University
Research Assistant
January 1, 2009 – September 1, 2012
Cultural Fit Analysis
The candidate has a strong background in Applied Science and Machine Learning, which aligns with a research-heavy or AI-focused role. However, the target role is 'Backend Engineer'. While the candidate's experience at Amazon implies working with backend systems to deploy ML models, their primary focus has been on the scientific and applied ML aspects rather than core backend engineering principles (e.g., distributed systems, API design, database optimization, specific programming languages for backend). This represents a significant mismatch for a pure backend engineering role, indicating a low cultural fit for that specific target.
Soft Skills & Operational Fit
The candidate's career progression at Amazon, including leadership roles, suggests strong operational fit and soft skills related to team management, strategic planning, and project execution within a large tech organization. However, specific details on communication style, stress handling, or team collaboration are not available from the provided data.