Wladyslaw Saj

Software Developer at LEDATEL Sp. z o.o. i Wspólnicy Sp. K.

Warsaw, Masovian Voivodeship, Poland
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Summary

👤
Senior
🎓
Top School
Wladyslaw Saj is a software developer and physicist with nine years of professional experience building data-focused tools for analysis, visualization, and processing across finance, business, and scientific domains. He combines academic strength in numerical simulations and pattern recognition with hands-on production work in Python, OpenCV, scikit-learn, Keras, PostgreSQL and cloud-era tooling. His career spans signal and speech processing, embedded systems (Raspberry Pi), and backend data pipelines, and he has modernized ML training examples for the GoogleCloudPlatform training-data-analyst repo to improve TensorFlow and Python3 compatibility. Based in Warsaw, he consistently turns complex algorithms into reliable internal tools and customer-facing reports, and brings a pragmatic blend of research rigor and maintainable engineering.
code9 years of coding experience
job9 years of employment as a software developer
bookMSc, Physics, MSc, Physics at Uniwersytet Warszawski
languagesPolish, English, German
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Github Skills (7)

machine-learning10
jupyter-notebook10
tensorflow10
python10
gcp10
data-analysis9
cloud-computing9

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
userML Engineer
Contributions:8 commits, 3 PRs in 5 months
Contributions summary:Wladyslaw primarily contributed to the training data analysis repository by modifying and correcting code within the training notebooks. Their work includes updating TensorFlow versions, correcting function calls (e.g., `tf.where_loop` to `tf.while_loop`), and ensuring compatibility with Python 3. They also made adjustments to the pipeline options and removed redundant region definitions within the training scripts, enhancing the overall maintainability of the examples.
gcp
Contributions:11 pushes, 1 branch in 1 day
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