Athanasios Vitsas

Senior AI Engineer at Weights & Biases

London, England, United Kingdom
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Summary

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Rockstar
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Top School
Athanasios Vitsas is a Senior AI Engineer based in London with three years of industry experience bridging machine learning, computational physics, and big-data visualization. He combines a strong academic background in computational mechanics with hands-on engineering at Weights & Biases, contributing to the widely used wandb SDK by improving public API features, data handling, and stability. His earlier career in CFD and aeroelastic research at institutions like KU Leuven and Foster + Partners equips him to tackle complex simulation-driven problems and translate physical models into scalable ML solutions. Known for pragmatic problem-solving, he excels at deploying production-ready ML tooling that optimizes engineering workflows and uncovers actionable insights from turbulent, high-dimensional datasets.
code3 years of coding experience
job10 years of employment as a software developer
bookMaster of Science - MS Computational Mechanics, Master of Science - MS Computational Mechanics at National Technical University of Athens
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Github Skills (14)

api10
backend10
python10
apidoc10
back-end-development10
data-science10
repr9
machine-learning9
tracks9
experiment9
rep9
data-versioning8
pytorch8
tensorflow8

Programming languages (4)

HCLTypeScriptJavaScriptPython

Github contributions (5)

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wandb/wandb

Jul 2022 - Feb 2025

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
userBack-end Developer
Contributions:8 reviews, 23 PRs, 53 pushes in 2 years 7 months
Contributions summary:Athanasios contributed to the Weights & Biases SDK by implementing features for the public API. The contributions include adding functionalities to retrieve history metrics, modifying run order, and fixing compatibility issues. They also worked on internal improvements such as persisting job_type updates and fixing an issue related to repeated usage of refs within launch configurations. These changes improved the API's functionality, data handling, and overall stability.
pythoncollaborationtensorflowhyperparameter-tuningcli
thanos-wandb/wandb-examples

Mar 2023 - Jan 2024

Example deep learning projects that use wandb's features.
Contributions:2 pushes in 10 months
pytorchdeep-learningdeep-learning-examplemachine-learningwandb
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Athanasios Vitsas - Senior AI Engineer at Weights & Biases