Help & Supportcareers@gravityer.com
Director at NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning is my passion. I am experienced in application of machine learning techniques to solve various business problems. Beyond applications, I also like to explore the underlying mathematics that power the models from Linear Regression to Deep Learning.
Stanford University
Artificial Intelligence Certificate
January 1, 2017 – January 1, 2019
Stanford University
Data Mining and Applications Certificate, Statistics
January 1, 2015 – January 1, 2016
UCLA
PhD Attempt !, Computer Science (Computer Vision & Biomedical Imaging)
January 1, 2010 – January 1, 2011
University of Minnesota
Master’s Degree, Computer Science (Computer Vision & Image Processing)
January 1, 2004 – January 1, 2006
University Of Mumbai,
Bachelor’s Degree, Information Technology
January 1, 2000 – January 1, 2004
NVIDIA
Director
March 1, 2025 – Present
NVIDIA
Senior Manager
June 1, 2021 – February 1, 2025
University of Washington
Advisory Board - Machine Learning & Data Science
April 1, 2021 – Present
Seattle
NVIDIA
Principal Architect
August 1, 2018 – May 1, 2021
Microsoft
Engineering Program Manager - Artificial Intelligence & Research
June 1, 2015 – July 1, 2018
Microsoft
Engineering Program Manager - Machine Learning in Windows OS
March 1, 2011 – June 1, 2015
Microsoft
Program Manager - Digital Documents
June 1, 2006 – September 1, 2010
University of Minnesota
Research Assistant
October 1, 2004 – May 1, 2006
AWS Machine Learning Certification
Amazon Web Services (AWS)
June 24, 2026 – Present
Creating Bots with the Microsoft Bot Framework, Part 1
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's long tenure at major tech companies like Microsoft and NVIDIA, along with an advisory role at a university, demonstrates a strong commitment to the tech industry and continuous learning. Their diverse experience across AI/ML, computer vision, and data science, combined with leadership responsibilities, aligns well with a dynamic, innovation-focused culture. The progression into a Director role at NVIDIA indicates a fit for high-impact, strategic positions.
Soft Skills & Operational Fit
The candidate's career progression into leadership roles at NVIDIA and Microsoft, coupled with advisory board experience at the University of Washington, suggests strong leadership, strategic thinking, and collaboration skills. The descriptions of driving strategic engagement and working with partners indicate excellent communication and stakeholder management abilities. The focus on performance analysis and quality metrics points to a detail-oriented and results-driven approach.