Viet Nguyen
Senior Artificial Intelligence Engineer at SPORTTOTAL.TV
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolViet Nguyen is a Senior Artificial Intelligence Engineer based in Berlin with 8 years of hands-on experience building production-ready ML and deep learning systems across computer vision, NLP and reinforcement learning. A TUM-trained informatics master specializing in AI and robotics, he combines strong Python expertise (TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV) with practical product experience at SPORTTOTAL.TV and prior roles at Signatrix and startups. His open-source contributions include implementing core modules of an EfficientDet object detector and an A3C agent for Super Mario Bros, demonstrating both applied research and engineering rigor. Comfortable moving models from research to deployment, he’s repeatedly focused on scalable architectures, loss integration, and training pipeline reliability. Colleagues describe him as an engineer who blends academic depth with pragmatic delivery—often surfacing efficiency improvements that reduce training or inference cost.
8 years of coding experience
6 years of employment as a software developer
Master’s Degree, Informatics, 1.7/1.0, Master’s Degree, Informatics, 1.7/1.0 at Technical University MunichEngineer’s Degree, Data Communication and Computer Network, 3.22/4.0, Engineer’s Degree, Data Communication and Computer Network, 3.22/4.0 at Hanoi University of Science and Technology
English, Vietnamese
Github Skills (12)
neural-network10
gymnasium10
openai-gym10
object-detection10
pytorch10
deeplearning-ai10
deep-learning10
python10
ai10
efficientnet10
reinforcement-learning10
tensorboard7
Programming languages (1)
Github contributions (5)
vietnh1009/Super-mario-bros-A3C-pytorch
May 2019 - Jan 2021
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Role in this project:
ML Engineer
ML EngineerContributions:46 commits, 45 pushes, 1 branch in 1 year 8 months
Contributions summary:Viet primarily contributed to the implementation and training of an A3C (Asynchronous Advantage Actor-Critic) reinforcement learning model for the Super Mario Bros environment. Commits show updates to the training process and environment setup. The user modified files related to the model architecture, environment wrappers, and training loop optimization. The user also uploaded pre-trained model weights and updated the README file.
a3cactor-criticasynchronousadvantage-actor-criticasynchronous-advantage-actor-critic
signatrix/efficientdet
Jan 2020 - Jan 2020
(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
Role in this project:ML Engineer
ML EngineerContributions:19 commits, 5 pushes, 35 comments in 2 days
Contributions summary:Viet primarily contributed to the `src/model.py` file, focusing on the implementation of the EfficientDet architecture. These changes included defining the ConvBlock, BiFPN, Regressor, Classifier, and EfficientNet modules, as well as integrating EfficientDet with loss functions and other utilities. Further modifications included updates to training and testing scripts, demonstrating active involvement in the development and maintenance of the object detection model.
scalableweightsobject-detectionefficientdetpretrained-weights
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