Deepak Singh Mohan

Deepak Singh Mohan Email and Phone Number

Machine learning Engineer | Deep Learning, Pose estimation, Medical device, Tensorflow @ LIME
Deepak Singh Mohan's Location
Berlin, Berlin, Germany, Germany
About Deepak Singh Mohan

A passionate Data Scientist with over four years of experience specializing in training deep learning models for image processing tasks like whole-body segmentation, object classification, pose estimation and gesture detection. My expertise includes optimizing models like MobileNetV3 for real-time whole-body image segmentation on mobile devices and using heavyweight models like ResNet, HRNet for high-quality human segmentation. I possess strong proficiency in dataset management, encompassing in-depth analysis, meticulous preprocessing, and the creation of custom datasets. Additionally, I excel in adapting existing datasets like COCO, Openpose, Hagrid, and Youtube8M to meet specific project requirements through thoughtful customization.I am deeply dedicated to research, constantly exploring state-of-the-art algorithms, and developing novel training approaches, all while reducing model complexity through profiling and pruning to make the models more efficient and accessible. I am committed to pushing the boundaries of computer vision and contributing innovative solutions to the field.

Deepak Singh Mohan's Current Company Details
LIME

Lime

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Machine learning Engineer | Deep Learning, Pose estimation, Medical device, Tensorflow
Website:
lime-medical.de
Employees:
8
Deepak Singh Mohan Work Experience Details
  • Lime
    Machine Learning Engineer
    Lime May 2024 - Present
  • Segmentive
    Data Scientist
    Segmentive Aug 2019 - Feb 2024
    Berlin Area, Germany
    Creating impossible moments in real-time | Cutting-edge video segmentation technology for mobileSegmentive has developed an innovative video segmentation technology for retail mobile devices that empowers users to intelligently remove themselves from live backgrounds to be transported into a scene of their choice.• Training various deep learning models ranging from light-weight MobileNetV3 to heavyweight HRNet, ResNet variants for whole-body image segmentation• Actively… Show more Creating impossible moments in real-time | Cutting-edge video segmentation technology for mobileSegmentive has developed an innovative video segmentation technology for retail mobile devices that empowers users to intelligently remove themselves from live backgrounds to be transported into a scene of their choice.• Training various deep learning models ranging from light-weight MobileNetV3 to heavyweight HRNet, ResNet variants for whole-body image segmentation• Actively involved in researching state-of-the-art algorithms, developing novel model training approaches, and tackling auxiliary tasks like pose estimation and gesture detection• Dataset management, encompassing analysis, preprocessing, creation of new datasets, and customization of existing ones such as COCO, Openpose, Hagrid, and Youtube8M to suit specific tasks• Profiling and pruning of models to reduce their computational complexity Show less
  • Honda Research Institute Europe Gmbh
    Master Thesis Student
    Honda Research Institute Europe Gmbh Jul 2018 - Feb 2019
    Offenbach Area, Germany
    Learning Hand adjustments for haptic interactions: to detect any misalignment using haptic feedback from tactile sensors during the process of supporting box-like objects in the human-robot collaboration environment• Understanding the nature and behavior of the tactile sensor pads on the robotic hand used for the interaction with the object• Learning to perform hand adjustments using a suitable reinforcement learning algorithm so as to support the object in the desired… Show more Learning Hand adjustments for haptic interactions: to detect any misalignment using haptic feedback from tactile sensors during the process of supporting box-like objects in the human-robot collaboration environment• Understanding the nature and behavior of the tactile sensor pads on the robotic hand used for the interaction with the object• Learning to perform hand adjustments using a suitable reinforcement learning algorithm so as to support the object in the desired way• Learning is performed in both simulated environment as well as the real environment using Schunk Dexterous Lightweight Arm and SchunkDexterous Hand Show less
  • Honda Research Institute Europe Gmbh
    Student Internship
    Honda Research Institute Europe Gmbh May 2018 - Jul 2018
    Offenbach Area, Germany
    Title: Integration of the VICON tracking system for dexterous human cooperation robot.• Understanding of the vicon camera system and vicon system tracker. • Integration of the marker object data from vicon tracker system to the dexterous human cooperation robot.
  • Bosch Engineering And Business Solutions
    Senior Software Engineer
    Bosch Engineering And Business Solutions Jun 2012 - Sep 2016
    Bengaluru Area, India
    Worked for Automotive Infotainment Systems as a Pre-Integration Tester, System Engineer, and Automation Test Engineer for System Verification and Validation using CANoe Simulation and CAPL Scripting• Verification and Validation of Embedded Software for PSA cars [Stand-alone CAN protocol-based system architecture] having features of Mirrorlink, Carplay, Android Auto, Car parking, and others• Automating the critical system power management module testing of the infotainment system… Show more Worked for Automotive Infotainment Systems as a Pre-Integration Tester, System Engineer, and Automation Test Engineer for System Verification and Validation using CANoe Simulation and CAPL Scripting• Verification and Validation of Embedded Software for PSA cars [Stand-alone CAN protocol-based system architecture] having features of Mirrorlink, Carplay, Android Auto, Car parking, and others• Automating the critical system power management module testing of the infotainment system using an external Webcam and Audio detector and analysis of behavior during startup and cranking• Worked on protocols such as LIN, and CAN for Infotainment systems of Mercedes-Benz, IVECO, Renault, and PSA• Worked at Robert Bosch GmbH , Germany as a part of a deputation for 1 year which helped me to get a better understanding of the above-mentioned modules in the Real environment Show less
  • Robert Bosch Car Multimedia Gmbh
    Senior Software Engineer
    Robert Bosch Car Multimedia Gmbh May 2015 - Apr 2016
    Hildesheim, Lower Saxony, Germany
    Worked at Robert Bosch Car Multimedia, Hildesheim, Germany as a part of a deputation from Robert Bosch Engineering and Business Solutions Private Limited, Bengaluru, India• Played a pivotal role in test automation and conducted rigorous in-car testing, focusing on the critical system power management module of the Peugeot infotainment system• Demonstrated the deliverable software at the customer's location through multiple visits ensuring seamless communication

Deepak Singh Mohan Education Details

Frequently Asked Questions about Deepak Singh Mohan

What company does Deepak Singh Mohan work for?

Deepak Singh Mohan works for Lime

What is Deepak Singh Mohan's role at the current company?

Deepak Singh Mohan's current role is Machine learning Engineer | Deep Learning, Pose estimation, Medical device, Tensorflow.

What schools did Deepak Singh Mohan attend?

Deepak Singh Mohan attended Technische Universität Darmstadt, Visvesvaraya Technological University.

Who are Deepak Singh Mohan's colleagues?

Deepak Singh Mohan's colleagues are Mathias Heiles, Doan-Trang Nguyen, Mohammad Amro, Wiebke Schultz, Jessica Roth, Dominic Libanio, Verena Hartung.

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