Darshan Hegde
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
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.