Mayoore Jaiswal
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Computer Vision Software Engineer @ NVIDIA | PhD @ UW
• 7+ years of research and development experience in image processing, computer vision and machine learning • 6+ years of experience teaching students of diverse backgrounds • 5 years of leadership experience focused on creating engagement and growth opportunities for University students • Analytical thinker, persistent, strong team-member and individual contributor • Proven in thought leadership and excellent communication skills • Able to learn from diverse perspectives, proficient at providing and sharing constructive feedback #ai #artificialintelligence #machinelearning #deeplearning #computervision #maxine #nvidia #womenintech #ghc
Université de Montréal
Deep Learning and Reinforcement Learning Summer School
January 1, 2017 – January 1, 2017
University of Washington
Doctor of Philosophy (PhD), Electrical and Computer Engineering
January 1, 2013 – June 1, 2018
University of Washington
Master's in Electrical and Computer Engineering, Electrical and Computer Engineering
January 1, 2010 – January 1, 2012
Anna University Chennai
Bachelor of Engineering, Electronics and Communication Engineering
January 1, 2005 – January 1, 2009
NVIDIA
Senior Software Engineer - Computer Vision & Deep Learning
August 1, 2020 – Present
Greater Seattle Area
Society of Women Engineers
Outreach Chair
June 1, 2019 – May 1, 2021
Austin, Texas Metropolitan Area
Thinkful
Data Science Mentor
October 1, 2018 – May 1, 2021
Austin, Texas, United States
IBM
Machine Learning / Computer Vision Research Scientist
June 1, 2018 – July 1, 2020
Austin, Texas Area
Intellectual Ventures Laboratory
Computer Vision Research Scientist
June 1, 2017 – June 1, 2018
University of Washington
Gradute Recruitment Coordinator
October 1, 2016 – June 1, 2017
Intellectual Ventures Laboratory
Research And Development Intern
June 1, 2015 – June 1, 2017
University of Washington
Study Section Instructor, Math Science Upward Bound Outreach Program
July 1, 2013 – August 1, 2013
University of Washington
Research Assistant
January 1, 2013 – February 1, 2018
Verizon Wireless
System Performance Co-op
June 1, 2012 – November 1, 2012
Bellevue, WA
T-Mobile
Network Technology Intern
June 1, 2011 – September 1, 2011
Bellevue, WA
University of Washington
Teaching Assistant
December 1, 2010 – December 1, 2015
Edmonds Community College
Math/Science Tutor
July 1, 2009 – August 1, 2010
Lynnwood, WA
Neural Networks for Machine Learning
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Mini-MBA for Engineers and Technology Managers
Rutgers University–New Brunswick
June 24, 2026 – Present
Improving Your Leadership Communications
June 24, 2026 – Present
Becoming Indistractable
June 24, 2026 – Present
Neural Networks for Deep Learning
Coursera Course Certificates
June 24, 2026 – Present
GDPR Compliance: Essential Training
June 24, 2026 – Present
Python for Everybody Specialization
Coursera Course Certificates
June 24, 2026 – Present
Transitioning from Technical Professional to Manager
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive involvement in academic research, mentorship, and diversity initiatives (e.g., SWE, graduate recruitment for under-represented groups) indicates a strong commitment to learning, community, and fostering talent. While the target role is 'Data Analyst', the candidate's background is heavily skewed towards 'Computer Vision' and 'Machine Learning Research Scientist' roles. This suggests a potential mismatch in the day-to-day responsibilities and focus, as a Data Analyst role typically emphasizes data manipulation, statistical analysis, reporting, and dashboarding, which are not explicitly highlighted in the experience descriptions. The breadth of skills is strong in AI/ML, but less so in core data analysis tools and techniques (e.g., SQL, advanced Excel, BI tools, specific statistical packages for business insights).
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship skills through roles at NVIDIA (WIT Mentorship), Society of Women Engineers (Outreach Chair), and Thinkful (Data Science Mentor). Experience as a Teaching Assistant and Research Assistant also highlights communication and instructional abilities. The candidate's involvement in diversity initiatives suggests a collaborative and inclusive work attitude. However, the provided data does not offer direct insights into stress handling or specific team collaboration styles beyond general mentorship and leadership roles.