Marco Paspuel

AI Research Engineer | MLOps at Helsing
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Contact Information
us****@****om
(386) 825-5501
Location
Berlin, Berlin, Germany, DE

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Credentials

  • Designing Microsoft Azure Infrastructure Solutions
    Microsoft
    Jan, 2023
    - Nov, 2024
  • AWS Networking Masterclass
    Digital Cloud Training
    Dec, 2022
    - Nov, 2024
  • Machine Learning Engineering for Production (MLOps)
    DeepLearning.AI
    Sep, 2021
    - Nov, 2024
  • Cloud DevOps using Microsoft Azure
    Udacity
    May, 2021
    - Nov, 2024
  • Genomic Technologies
    The Johns Hopkins University
    Dec, 2020
    - Nov, 2024
  • Machine Learning Scientist
    Amazon Web Services (AWS)
    Sep, 2019
    - Nov, 2024
  • TensorFlow Developer
    deeplearning.ai
    Jun, 2019
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Apr, 2018
    - Nov, 2024
  • Machine Learning
    Stanford University
    Mar, 2018
    - Nov, 2024
  • Innovation and Commercialization
    MITx on edX
    Apr, 2015
    - Nov, 2024

Experience

    • Germany
    • Software Development
    • 100 - 200 Employee
    • AI Research Engineer | MLOps
      • Feb 2022 - Present

    • Germany
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Dec 2019 - Feb 2022

      ▪ Worked on the design and development of a resilient and scalable system for video data anonymization based on state-of-the-art artificial intelligence. ▪ Orchestrated the design and implementation of an MLOps system to automate data acquisition, model training, model deployment, and scalability, as well as improve system performance and experimentation rate. ▪ Optimized deep learning-based computer vision systems for commercial applications: defining metrics, datasets, benchmarks, and training models using modern DL frameworks. ▪ Implemented cloud infrastructure solutions for compute-intensive workloads on the Microsoft platform. Built CI/CD Pipelines for containerized cloud ML applications. ▪ Coordinated technical projects from the beginning of conception through implementation and ensured handover to operations during the testing phase. ▪ Worked across teams to improve problem visibility and provide tangible solutions to problems. Show less

  • Coach-AI
    • Darmstadt, Hesse, Germany
    • Computer Vision Engineer
      • Dec 2018 - Nov 2019

      ▪ Contributed to the development of large-scale computer vision projects, from the level of researching a prototype to the level of production. ▪ Developed standard and novel approaches to typical vision problems such as object detection and tracking, semantic segmentation, human pose estimation, and action classification. ▪ Designed, trained and tested machine learning and deep learning models using standard libraries. ▪ Implemented state-of-the-art deep learning and computer vision papers grounded in the current research literature. Show less

    • Germany
    • Research Services
    • 700 & Above Employee
    • Graduate Research Assistant
      • Jan 2017 - Dec 2018

      ▪ Researched and developed Computer vision, Image processing, and Deep Learning algorithms for image classification, object detection, and 3D scene reconstruction. ▪ Created the first computer vision course for the International Graduate Program in Mechatronics. ▪ Helped to build a simulation environment for training and benchmarking perception systems for autonomous vehicles. ▪ Authored, tested and documented computer vision repositories, designed to help students gain practical expertise with state-of-the-art image processing and computer vision techniques. Show less

    • Germany
    • Software Development
    • 700 & Above Employee
    • Application Engineer
      • May 2013 - Aug 2015

      ▪ Coordinated industrial engineering projects from planning to implementation and operation. ▪ Performed calculations and application analysis to provide highly efficient steam, hot water, and power generation solutions. ▪ Conducted customer visits to provide equipment evaluation, installation, and troubleshooting. ▪ Collaborated closely with others in the organization to include engineering, operations, parts, and sales to develop customer-focused solutions. ▪ Coordinated industrial engineering projects from planning to implementation and operation. ▪ Performed calculations and application analysis to provide highly efficient steam, hot water, and power generation solutions. ▪ Conducted customer visits to provide equipment evaluation, installation, and troubleshooting. ▪ Collaborated closely with others in the organization to include engineering, operations, parts, and sales to develop customer-focused solutions.

Education

  • Universität Siegen
    Master of Science, Mechatronics, Robotics, and Automation Engineering
    2015 - 2018
  • Massachusetts Institute of Technology
    Professional Certificate in Innovation & Design-Thinking
    2015 - 2015
  • Universidad Tecnológica Equinoccial
    Bachelor's degree, Mechatronics, Robotics, and Automation Engineering
    2007 - 2013

Community

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