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Building Outrun Robotics | Ex-Dexterity | Ex-Uber ATG | Ex-NVIDIA | Stanford | NYU
Building AI enabled robotics for economical & flexible industrial automation. In the past, developed & deployed grasp planning algorithms for sortation robots at scale( dexterity ), perception & motion forecasting algorithms for a fleet of self-driving cars ( uber atg / aurora innovation, nvidia ), research prototype of teleoperation & imitation learning algorithms ( stanford / tacta systems ). I graduated from Center for Data Science, New York University with MS in data science with deep learning & high performance computing focus. Recently studied Robotics ( only grad courses that interests me ) at Stanford University.
Stanford University
Graduate Program, Robotics
January 1, 2023 – July 1, 2024
New York University
Master of Science (M.S.), Data Science
August 1, 2013 – May 1, 2015
RV College Of Engineering
Bachelor of Engineering (B.Eng.), Electronics and Communications
January 1, 2007 – January 1, 2011
AI2 Incubator
Founder In Residence
April 1, 2025 – Present
Seattle, Washington, United States · Remote
Outrun Robotics
Co-founder & CTO
January 1, 2025 – Present
San Francisco Bay Area · On-site
Tacta Systems, Inc.
Staff Roboticist
December 1, 2023 – January 1, 2025
Palo Alto, California, United States · On-site
Dexterity, Inc.
Senior Roboticist
June 1, 2021 – January 1, 2024
Redwood City, California, United States
Aurora
Senior Software Engineer (Deep Learning for Self-driving)
January 1, 2021 – June 1, 2021
San Francisco, California, United States
Uber Advanced Technologies Group
Senior Software Engineer (Deep Learning for Self-driving)
January 1, 2017 – January 1, 2021
San Francisco, California
NVIDIA
Machine Learning Engineer
June 1, 2015 – January 1, 2017
Santa Clara
NYU Stern School of Business
Research Assistant
September 1, 2013 – May 1, 2015
New York City Metropolitan Area
24/7, Inc
Data Scientist
February 1, 2013 – July 1, 2013
24/7, Inc
Analytics Consultant
January 1, 2012 – January 1, 2013
Samsung R&D Institute India - Bangalore
Software Engineer
July 1, 2011 – January 1, 2012
Bengaluru, Karnataka, India
Hewlett-Packard
Engineering Intern
June 1, 2010 – August 1, 2010
Bengaluru, Karnataka, India
Sequence Models
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards cutting-edge research and development in AI, Robotics, and Deep Learning. While they have early experience as a Data Scientist and Analytics Consultant, their recent roles are heavily focused on engineering and research in robotics. This might indicate a potential mismatch with a pure Data Analyst role, which typically involves more business intelligence, reporting, and statistical analysis rather than advanced model development and deployment. Their entrepreneurial background suggests a drive for innovation and impact, which could be a good fit for a dynamic environment, but the specific technical focus has shifted significantly from traditional data analysis.
Soft Skills & Operational Fit
The candidate's resume indicates strong problem-solving skills through their work on complex robotics and autonomous driving challenges. Their experience as a Founder/CTO suggests leadership, initiative, and a product-oriented mindset. Mentoring interns also points to good collaboration and knowledge transfer abilities. However, direct evidence of communication and teamwork in a data analyst context is limited.