Shiv Vitaladevuni
DirectorDirector, Applied Science | Nova Forge
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 | Nova Forge
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 lead the science and customer adoption for Nova Forge at Amazon AGI. Our mission is to enable enterprises to build differentiating foundation models for their domains by customizing Nova models with their data and domain expertise.
University of Maryland
Ph.D., Computer Science
January 1, 2003 – January 1, 2007
Indian Institute of Technology, Madras
B.Tech. & M.Tech, Computer Science
January 1, 1998 – January 1, 2003
Amazon
Director, Applied Science
October 1, 2020 – Present
Amazon
Sr. Manager, Machine Learning
April 1, 2016 – October 1, 2020
Amazon
Machine Learning Manager
January 1, 2015 – April 1, 2016
Amazon
Senior Machine Learning Scientist
August 1, 2013 – January 1, 2015
Amazon
Machine Learning Scientist
June 1, 2013 – August 1, 2013
Raytheon BBN Technologies
Scientist
August 1, 2010 – June 1, 2013
Howard Hughes Medical Institute
Bioinformatics Specialist
October 1, 2007 – August 1, 2010
Cultural Fit Analysis
The candidate has a long tenure at Amazon, progressing through various senior roles in Machine Learning and Applied Science, which suggests a strong alignment with a fast-paced, innovation-driven culture. Their experience across diverse projects (speech, computer vision, bioinformatics, financial market analysis) indicates adaptability and a broad intellectual curiosity. However, the lack of projects outside of employment and limited explicit mention of collaboration beyond team leadership makes it difficult to fully assess broader cultural fit beyond a large corporate environment.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in scaling teams and products, mentoring team members, and driving innovation, indicating strong operational and leadership soft skills. The description of leading a team from two to seventy and grooming members for senior roles suggests strong people management and development capabilities. The focus on inventing products used by millions of customers implies a results-oriented and customer-focused approach.