Founder & CEO @Trisetra, Inc | Bridging Design-Vision Gap Between Homeowners and Real Estate Professionals With AI-Powered, Code Compliant, 3D Design
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Interests: 3D reconstruction, Structure from Motion, Object Detection/ Tracking, Shape-based Object Analysis, Active Segmentation, Object Recognition, Shape-based Object Analysis, Scene Representation.
National University of Singapore
PhD, Computer vision, Thesis Title: A Fixation-based Segmentation Framework
January 1, 2005 – January 1, 2011
Indian Institute of Technology, Kanpur
B.Tech, Electrical Engineering
January 1, 1999 – January 1, 2003
Trisetra, Inc
Founder & CEO
September 1, 2018 – Present
Palo Alto, California, United States
HOVER Inc.
Director of Computer Vision & Deep Learning Group
August 1, 2016 – June 1, 2018
San Francisco Bay Area
Magic Leap
Lead Software Engineer, Computer Vision
May 1, 2016 – August 1, 2016
Mountain View, California
Magic Leap
Senior Engineer, Computer Vision
May 1, 2015 – May 1, 2016
Mountain View, California
Amazon
Research Scientist
October 1, 2013 – May 1, 2015
Greater Seattle Area
Intelligent Automation, Inc.
Research Scientist
October 1, 2011 – October 1, 2013
Washington D.C. Metro Area
University of Maryland
Visiting Researcher/ Post-doc
June 1, 2008 – September 1, 2011
Washington D.C. Metro Area
National university of Singapore
PhD
January 1, 2005 – January 1, 2010
ST Microelectronics
Associate Design Engineer
January 1, 2004 – July 1, 2005
Tata Consultancy services
Associate Software engineer
January 1, 2003 – January 1, 2003
Cultural Fit Analysis
The candidate's background is heavily skewed towards Computer Vision, AI, and research, with significant leadership and entrepreneurial experience. While these skills are valuable, the direct alignment with a 'Data Analyst' role is not immediately clear. The candidate's profile suggests a strong fit for roles requiring advanced machine learning, computer vision, or AI research and development, rather than traditional data analysis. The diversity of projects is high within the AI/CV domain, but less so across broader data analysis techniques.
Soft Skills & Operational Fit
The candidate's extensive experience in research and leadership roles suggests strong problem-solving, innovation, and strategic thinking. The entrepreneurial background indicates initiative and a results-oriented mindset. However, the provided data does not offer direct insights into communication style, teamwork, or stress handling in a typical corporate data analyst setting.