S

Shreyash Pandey

Machine Learning Engineer

San Jose, California, United States8 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in perception systems for autonomous vehicles.
  • Strong background in machine learning and computer vision.
  • Proven track record in developing innovative AI solutions.
Stackforce AI infers this person is a Machine Learning Engineer specializing in autonomous systems and computer vision applications.

Contact

shreyashpandey29@gmail.comLinkedIn

Skills

Core Skills

Machine LearningComputer VisionPerceptionNatural Language ProcessingObject Recognition

Other Skills

Android DevelopmentArduinoAutonomous SystemsC (Programming Language)CNN ArchitecturesData CleaningData ScienceData StructuresDeep LearningHTML 5HTML5Image ProcessingJavaMatlabMobile Development

Experience

Apple

Staff Machine Learning Engineer / Manager

Jul 2022 – Present · 3 yrs 8 mos

  • Perception for Autonomous Systems;
  • Multimodal Foundation Models
Machine LearningComputer VisionDeep Learning

Aurora

Senior Software Engineer

Jan 2021 – Jul 2022 · 1 yr 6 mos · Mountain View, California, United States

  • Acquihire; Perception for autonomous trucks
  • https://blog.aurora.tech/engineering/a-piece-of-the-perception-puzzle-harnessing-the-range-view
  • https://blog.aurora.tech/engineering/perception-at-aurora-no-measurement-left-behind
PerceptionAutonomous Systems

Uber

Autonomy Engineer II

Apr 2019 – Jan 2021 · 1 yr 9 mos · Greater Pittsburgh Region

  • Perception and prediction for self driving cars
PerceptionPrediction

Stanford university

Graduate Research Assistant - Stanford AI Lab

Jan 2018 – Jun 2018 · 5 mos

  • Worked on:
  • Natural Language to SQL translation for data cleaning purposes;
  • Weak Supervision for NER tagging and relation extraction.
Natural Language ProcessingData CleaningWeak Supervision

Samsung electronics

Software Engineer

Jun 2016 – Aug 2017 · 1 yr 2 mos · Bengaluru, Karnataka, India

  • Worked on Memory efficient CNN architectures for object recognition and detection on mobile.
CNN ArchitecturesObject RecognitionMobile Development

Education

Stanford University

Master of Science - MS — Electrical Engineering

Jan 2017 – Jan 2019

Indian Institute of Technology, Kanpur

Bachelor of Technology (B.Tech.) — Electrical Engineering

Jan 2012 – Jan 2016

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