Diego Gomez
Senior Software Engineer at Google
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolDiego Gomez is a Senior Software Engineer and Machine Learning specialist with 11 years of experience, currently building large-scale image, video and text safety classifiers for YouTube at Google from Paris. He designs and maintains ML infrastructure to deploy production models at scale and leads intern mentorship programs, blending hands-on engineering with people development. His open-source contributions include extending core tensor operations in PySyft for privacy-preserving data science and implementing foundational GAN models in PyTorch/TensorFlow, reflecting both applied ML and systems-level expertise. Diego’s background includes published research in astronomical transient recognition and a Cum Laude Computer Science degree from Universidad de los Andes, showing strong academic rigor. Comfortable across back-end systems, model training pipelines and research code, he brings a rare mix of production impact and research-driven curiosity.
11 years of coding experience
5 years of employment as a software developer
Universidad de los AndesNanodegree, Machine Learning Engineer, Nanodegree, Machine Learning Engineer at UdacityUniversity College London
English, Spanish, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
tensorrt10
pytorch10
machine-learning10
tensor10
tensorflow10
python10
mnist10
generative-adversarial-network10
operation10
federated-learning10
sym10
cryptography7
deeplearning-ai7
deep-learning7
Programming languages (6)
Github contributions (5)
diegoalejogm/gans
Dec 2017 - Jun 2021
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Role in this project:
ML Engineer
ML EngineerContributions:71 commits, 7 PRs, 57 pushes in 3 years 6 months
Contributions summary:Diego contributed to the implementation of Generative Adversarial Networks (GANs) within the PyTorch and TensorFlow frameworks. Their commits demonstrate the creation of basic MNIST loading, model definition (discriminator and generator networks), and initial training routines. The user's work focused on setting up the core components of a Vanilla GAN architecture, indicating an emphasis on foundational ML concepts.
pytorchcyclegandeep-learningadversarialgenerative-adversarial-network
OpenMined/PySyft
Nov 2017 - Dec 2017
Perform data science on data that remains in someone else's server
Role in this project:Back-end Developer
Back-end DeveloperContributions:9 commits, 4 PRs, 20 comments in 19 days
Contributions summary:Diego primarily contributed to the core functionality of the `pysyft` library by adding several tensor operations. These include functions like `neg`, `triu`, `ceil`, `floor`, and `sigmoid`, demonstrating a focus on expanding the library's capabilities for tensor manipulation. Additionally, the user appears to be involved in updating the library's build and installation configuration.
pytorchcryptographyacquiringpythonscience
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