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Pushkar khetrapal

I am a passionate Robotics Engineer specializing in Deep Learning and autonomous systems. With over Four years of experience, I have been at the forefront of deploying and advancing autonomous robots worldwide. My expertise spans reinforcement learning, sensor fusion, safety systems, and localization, driving innovation in autonomous navigation.

I thrive at the intersection of cutting-edge research and real-world applications, leveraging deep learning and robotics to solve complex challenges. My work reflects a commitment to precision, efficiency, and pioneering technology.

  • Role

    Robotics Engineer - Deep Learning

  • Years of Experience

    6.33 years

Skillsets

  • Statistics
  • Deep Learning
  • Web Development
  • Programming
  • Image Processing
  • Robot operating system
  • Brain computer interfaces
  • Signal Processing
  • Sensor Fusion
  • 3D mapping

Professional Summary

6.33Years
  • Jul, 2024 - Present1 yr 10 months

    Senior Software Engineer

    Stryker
  • Jan, 2021 - Jun, 20243 yr 5 months

    Robotics Engineer - Deep Learning

    Ottonomy Inc
  • Jun, 2020 - Dec, 2020 6 months

    Autonomous Robotics and AI Intern

    Ottonomy Inc
  • Oct, 2019 - Jun, 2020 8 months

    Machine Learning Engineer

    B.M. Embedded Solutions

Applications & Tools Known

  • icon-tool

    Tensorflow

  • icon-tool

    OpenCV

  • icon-tool

    NLTK

  • icon-tool

    Matplotlib

  • icon-tool

    Pandas

  • icon-tool

    TensorRT

Work History

6.33Years

Senior Software Engineer

Stryker
Jul, 2024 - Present1 yr 10 months

Robotics Engineer - Deep Learning

Ottonomy Inc
Jan, 2021 - Jun, 20243 yr 5 months
    Led software development for autonomous delivery robots, implementing safety modules and technology for sensor fusion and 3D mapping solutions.

Autonomous Robotics and AI Intern

Ottonomy Inc
Jun, 2020 - Dec, 2020 6 months

Machine Learning Engineer

B.M. Embedded Solutions
Oct, 2019 - Jun, 2020 8 months

Achievements

  • Deployed autonomous robot in Rome's Fiumicino airport as core software team member
  • Organized day Workshop on Machine Learning and openCV
  • Best Jugaad title in hackCBS among 300+ teams
  • Intel Edge AI Scholarship Winner
  • Bertelsmann Tech Scholarship Winner

Major Projects

2Projects

SemanticBoxNet

    Deep Learning Model predicting semantic masks and bounding boxes for Panoptic Segmentation with reduced parameters.

MiLoc

    Developed a Global Localization algorithm utilizing a monolithic CNN for 6-DoF localization and visual odometry.

Education

  • Bachelor of Technology in Electronics and Communication Engineering

    Guru Gobind Singh Indraprastha University (2021)

Certifications

  • C++ nanodegree program

  • Deep learning specialization

  • Introduction to computer vision

  • Statistics 110: probability

  • Cs229 - machine learning

  • Data structures and algorithms

  • Cs234a - introduction to deep learning

  • Sequence models

  • Machine learning with python

  • Artificial neural network and convolution neural network in tensorflow