Nitish Srivastava

CTO

Cupertino, California, United States14 yrs 6 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in Machine Learning and Artificial Intelligence.
  • Proven track record in developing autonomous systems.
  • Strong background in research and practical applications.
Stackforce AI infers this person is a Machine Learning expert with a focus on Artificial Intelligence and Computer Vision.

Contact

Skills

Core Skills

Machine LearningArtificial IntelligenceComputer VisionDeep Learning

Other Skills

AlgorithmsApplied MathematicsData MiningMatlabNeural NetworksObject DetectionProgrammingPythonReinforcement LearningStatistical ModelingStatistics

About

Specialties: Machine Learning, Deep Networks, Artificial Intelligence

Experience

Serve robotics

Sr Director of Autonomy

Aug 2025Present · 7 mos

Vayu robotics

Co-Founder and CTO

Feb 2022Aug 2025 · 3 yrs 6 mos · Palo Alto, California, United States · On-site

Machine LearningArtificial Intelligence

Apple

2 roles

Staff Research Scientist - Machine Learning

Nov 2018Feb 2022 · 3 yrs 3 mos · Cupertino, California, United States

  • Self-Supervised Learning and Reinforcement Learning for embodied agents.
Machine LearningArtificial Intelligence

Staff ML Engineer

Feb 2017Nov 2018 · 1 yr 9 mos · Cupertino, California, United States

  • Perception Neural Networks for Autonomy, Sensor Fusion
Machine LearningComputer Vision

Clarevision research (acquired by apple)

Co-Founder

Feb 2015Sep 2016 · 1 yr 7 mos · Toronto, Ontario, Canada

  • Computer vision models for autonomous driving, real-time object detection, semantic segmentation, and object tracking using LiDAR and camera data.
Computer VisionMachine Learning

Google

2 roles

Research Intern

Jun 2013Sep 2013 · 3 mos · Mountain View, California, United States

  • Worked with the Google Brain team on language models that combine learned representations with count-based statistics.

Research Intern

Jun 2012Sep 2012 · 3 mos · Mountain View

  • Worked with the Android Speech Recognition Team on training large auto-encoder models for learning a representation of raw speech signals.

University of toronto

Graduate Student

Sep 2011Feb 2017 · 5 yrs 5 mos · Toronto, Canada Area

  • Worked with Geoffrey Hinton and Ruslan Salakhutdinov on Dropout, Boltzmann Machines, Seq-to-seq video models, Transfer Learning.
Machine LearningDeep Learning

Microsoft research silicon valley

Intern

May 2010Jul 2010 · 2 mos

  • Intern at Search Labs

Ecole centrale paris

Intern

May 2009Jul 2009 · 2 mos · Paris Area, France

  • Intern with Applied Mathematics and Systems Lab

Education

University of Toronto

Doctor of Philosophy (PhD) — Machine Learning

Jan 2013Jan 2016

University of Toronto

MS — Computer Science

Jan 2011Jan 2013

Indian Institute of Technology, Kanpur

BTech — Computer Science

Jan 2007Jan 2011

Delhi Public School - R. K. Puram

Jan 2005Jan 2007

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