Sanjeev Sharma

Founder

Bhopal, Madhya Pradesh, India16 yrs 6 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Pioneered autonomous driving demos on Indian roads.
  • Recognized as a top data scientist under 40 in India.
  • Developed algorithms for complex traffic dynamics.
Stackforce AI infers this person is a leader in autonomous driving technology and education sectors.

Contact

Skills

Core Skills

Autonomous NavigationReinforcement LearningMachine Learning

Other Skills

AlgorithmsArtificial IntelligenceCC++CVXComputer VisionConvex OptimizationDecomposition MethodsLaTeXLinear AlgebraMatlabPath PlanningPattern RecognitionPythonROS

About

I am presently a founder of two startups, Swaayatt Robots and Deep Eigen, focusing on autonomous driving and education, respectively. At Swaayatt, I am researching and developing autonomous driving technology that works in highly stochastic traffic dynamics, both on- and off-roads, and testing it on Indian roads and highways. Past Background: Before coming back to India and starting Swaayatt, I was admitted to Fall 2014 Computer Science PhD program at the University of Massachusetts Amherst. In 2015, after obtaining a one year deferral, I gave up the PhD offer and started full time with Swaayatt Robots. I bootstrapped Swaayatt and built the autonomous driving technology single-handed until 2021 when we received our first round of funding. I n 2017 I had demoed multi-agent reinforcement learning based framework to enable autonomous navigation through tight stochastic roads in India, and throughout 2016-2018 I demoed autonomous driving technology, that I was developing, directly on Indian roads -- these were first ever such demos on Indian roads, and the first ever successful demo of reinforcement learning for autonomous driving. Research Areas: My primary research areas include, but not limited to: Autonomous Navigation, Motion Planning, Reinforcement Learning, Decision Making Under Uncertainty, Deep Learning, Mathematical Topology. Awards & Recognition: Some of the awards I have won along the way, as a recognition for my research in autonomous driving: 1) 51 Most Impactful Smart Cities Leaders (Globally) in 2019 --- awarded at the World CSR Day by Global Smart Cities Congress & Awards, Awarded on Feb 18, 2019 2) Top 40 Under 40 Data Scientist in India (2019) --- awarded at the Machine Learning Developers Summit by Analytics India Magazine, awarded on January 31, 2019 3) Won the CII India Innovation Summit 2018's National Pitch Perfect Competition where I presented our autonomous driving technology. This was a nation-wide competition and Swaayatt Robots won it. Miscellaneous: I meditate, and suggest everyone else to do the same. Inspiration: I started my research in autonomous navigation (focusing on motion planning, reinforcement learning, machine learning and mathematical optimization during undergrad) when I was in my 4th semester of undergrad, in January 2009, at IIT Roorkee. My inspiration was a video by Team MIT for their autonomous vehicle testing for the DARPA 2007 Urban Challenge. I have come a long way since then.

Experience

Deep eigen

Founder, CEO

May 2020Present · 5 yrs 10 mos · India

  • Our vision is to make cutting-edge education accessible and available to everyone.

Swaayatt robots (स्वायत्त रोबोट्स)

Founder, CEO, and Chief of Technology, Research & Solutions Architect

May 2015Present · 10 yrs 10 mos · India

  • Swaayatt Robots is developing algorithms to enable autonomous driving in challenging traffic and environmental conditions, that are often complex, adversarial, and stochastic in nature.
AlgorithmsMachine LearningReinforcement LearningRoboticsArtificial IntelligenceAutonomous Navigation

Computing science, university of alberta

3 roles

Research Assistant

Jan 2014Aug 2014 · 7 mos

  • Research Assistant to Prof. Richard S. Sutton

Graduate Student (Thesis based MSc Program)

Sep 2012Aug 2014 · 1 yr 11 mos

  • For my Thesis based MSc at University of Alberta, my adviser is Prof. Richard S. Sutton

Teaching Assistant

Sep 2012Dec 2013 · 1 yr 3 mos

  • CMPUT-101: Introduction to Computing (Fall 2012, Taking Labs, Marking Mid-Terms and Exams)
  • CMPUT-175: (Winter 2013, Taking Python Labs and Marking Assignments)
  • CMPUT-466/551: Machine Learning (Fall 2013)

Ariel university, paslin laboratory for robotics and autonomous vehicles

Research Intern

Sep 2011Apr 2012 · 7 mos · Ariel, Israel

  • During the internship I developed an on-line motion planner for high-speed navigation of mobile robots in cluttered, known, environments. The papers describing this algorithm are published in Romansy 2012, IROS 2012 and IJRR 2013.
  • Adviser: Zvi Shiller

University of massachusetts amherst

Research Intern

May 2010Aug 2010 · 3 mos · Amherst, Massachusetts, USA

  • During the internship, I mainly focused on fixed-point methods in reinforcement learning. I developed a Sigma PointsRepresentation Policy Iteration Algorithm by combining the Proto-Value Function framework with the Sigma Points Policy Iteration algorithm.
  • Adviser: Sridhar Mahadevan

Iiit h

IPTSE-09: Winter School Organized by CMU and IIIT H

Dec 2009Dec 2009 · 0 mo · Greater Hyderabad Area

  • I was selected for winter school jointly organized by Carnegie Mellon University and IIIT H, during December 2009.
  • Here I completed a project under Prof. Bhiksha Raj (CMU) along with 3 other team members. Aim of this project was to identify number of speakers in a given speech signal.

Searching-eye

Co-Founder

May 2009Dec 2014 · 5 yrs 7 mos

  • Searching-Eye was a website for sharing knowledge, an initiative take when I was an undergraduate student at IIT Roorkee. Through searching-eye I had delivered 37 lectures in machine learning, convex optimization and reinforcement learning, while an undergrad at IIT Roorkee.
Machine LearningConvex OptimizationReinforcement Learning

Education

University of Alberta

Master of Science (MS) — Computer Science

Jan 2012Jan 2014

Indian Institute of Technology, Roorkee

B. Tech — Electrical Engineering

Jan 2007Jan 2011

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