Zee Fryer
Machine Learning Engineer at Speak
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolZee Fryer is a Machine Learning Engineer and mathematician with 11 years of research and industry experience, blending a PhD-level foundation in noncommutative algebra with hands-on ML engineering from Google to startups. They specialize in Python-based deep learning and data tooling (TensorFlow, PyTorch, JAX/Flax, numpy, pandas, polars, scikit-learn) and have productionized model compression and contrastive training workflows, including a block-diagonal weight compressor contributed to Google Research. Zee has led data teams and built terabyte-scale multimodal data pipelines, hiring and mentoring engineers while interfacing with both technical and non-technical stakeholders. Comfortable in fast-paced, product-driven environments, they pair rigorous academic instincts with pragmatic engineering to ship model optimization and Responsible AI work such as LLM bias evaluation. Based in Oakland, they bring a rare combination of formal math insight and practical dataset engineering that accelerates robust ML research-to-production cycles.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at The University of ManchesterMaster of Science - MS, Mathematics, 1st Class Hons, Master of Science - MS, Mathematics, 1st Class Hons at University of Nottingham
Github Skills (8)
machine-learning10
tensorflow10
python10
data-analysis9
model-compression9
ai9
numpy8
data-science8
Programming languages (2)
Github contributions (5)
google-research/google-research
Mar 2021 - Mar 2022
Google Research
Role in this project:
ML Engineer
ML EngineerContributions:5 commits in 11 months
Contributions summary:Zee implemented a block diagonal compression operation within the Google Research project. This involved creating a new compressor to compress the weight matrix, enhancing computational efficiency. Additionally, the user developed utilities for loading and manipulating datasets (Dsprites and 3dident) and created training and evaluation loops for contrastive experiments. The user's contributions center around machine learning model optimization and experimentation.
googlemachine-learningai
zeefryer/zeefryer.github.io
Aug 2022 - Oct 2024
Contributions:16 pushes, 1 branch in 2 years 2 months
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