Maciej Michalski
Group Product Manager at Seriatim Foundation
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolMaciej Michalski is a Group Product Manager at Google with 11 years of product leadership experience building and scaling multi-billion-dollar businesses across software and hardware. He leads teams responsible for App Ads on Google Play and Google Discover, and previously co-founded Google Fit and grew the Chromebook consumer business to double retail sales volume. He combines strategic portfolio management—taking projects from build to monetization—with hands-on technical fluency informed by contributions to high-profile open-source ML projects like Tensor2Tensor and Google Research. A committed mentor and PM community leader, he has advised 20+ APMs and served on multiple hiring and promotion committees. His background spans rigorous CS education (Imperial College, Warsaw) and executive leadership training at Stanford, plus civic engagement as a board member and former TEDx co-founder. Notably, he blends consumer product intuition with machine learning engineering experience that improves model serving and evaluation for real-world deployments.
11 years of coding experience
10 years of employment as a software developer
Executive Education, Organizational Leadership, Executive Education, Organizational Leadership at Stanford University Graduate School of BusinessWarsaw University of TechnologyMSc, Computer Science & Engineering, MSc, Computer Science & Engineering at Imperial College London
English, Polish
Github Skills (24)
python10
evaluation10
data-set10
variational-autoencoder10
machine-learning10
generative-adversarial-network10
data-model10
autoencoder10
datasets10
eval10
deep-learning10
tensorflow10
user-data10
computer-vision10
metric10
Programming languages (3)
Github contributions (5)
google/compare_gan
Jul 2018 - Oct 2018
Compare GAN code.
Role in this project:
ML Engineer
ML EngineerContributions:12 commits, 1 PR, 9 pushes in 3 months
Contributions summary:Maciej's contributions primarily involve modifications to a Colab notebook used for comparing GAN models, indicating a focus on model evaluation and experimentation. The changes include updates to the notebook's imports, setup, and helper functions, along with the addition of a module table to display available GAN models. Code modifications focused on generating images and evaluation methods such as FID, KID, and MSSIM scores. The user also included adjustments to evaluation tasks, suggesting a role in refining the model assessment process.
gandeep-learninggenerative-adversarial-networkneural-style-transfer
tensorflow/datasets
Nov 2018 - Apr 2020
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Role in this project:ML Engineer
ML EngineerContributions:77 commits, 37 PRs, 3 pushes in 1 year 5 months
Contributions summary:Maciej primarily contributed to adding and modifying datasets within the TensorFlow Datasets library. Their work focused on integrating the BAIR Pushing video dataset, including the creation of necessary files and tests. Furthermore, they updated existing dataset configurations and implemented the integration of the CelebA dataset with associated metadata and the Starcraft video dataset with different resolutions.
datanumpydeep-learningdatasetmachine-learning
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