Marco Paspuel
AI Research Engineer | MLOps at Helsing- Claim this Profile
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Bio
Credentials
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Designing Microsoft Azure Infrastructure Solutions
MicrosoftJan, 2023- Nov, 2024 -
AWS Networking Masterclass
Digital Cloud TrainingDec, 2022- Nov, 2024 -
Machine Learning Engineering for Production (MLOps)
DeepLearning.AISep, 2021- Nov, 2024 -
Cloud DevOps using Microsoft Azure
UdacityMay, 2021- Nov, 2024 -
Genomic Technologies
The Johns Hopkins UniversityDec, 2020- Nov, 2024 -
Machine Learning Scientist
Amazon Web Services (AWS)Sep, 2019- Nov, 2024 -
TensorFlow Developer
deeplearning.aiJun, 2019- Nov, 2024 -
Deep Learning Specialization
CourseraApr, 2018- Nov, 2024 -
Machine Learning
Stanford UniversityMar, 2018- Nov, 2024 -
Innovation and Commercialization
MITx on edXApr, 2015- Nov, 2024
Experience
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Helsing
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Germany
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Software Development
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100 - 200 Employee
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AI Research Engineer | MLOps
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Feb 2022 - Present
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brighter AI
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Germany
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Software Development
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1 - 100 Employee
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Machine Learning Engineer
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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
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Coach-AI
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Darmstadt, Hesse, Germany
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Computer Vision Engineer
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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
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Universität Siegen
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Germany
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Research Services
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700 & Above Employee
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Graduate Research Assistant
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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
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Bosch
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Germany
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Software Development
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700 & Above Employee
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Application Engineer
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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.
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Education
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Universität Siegen
Master of Science, Mechatronics, Robotics, and Automation Engineering -
Massachusetts Institute of Technology
Professional Certificate in Innovation & Design-Thinking -
Universidad Tecnológica Equinoccial
Bachelor's degree, Mechatronics, Robotics, and Automation Engineering