Jonathan Bischof
Member Of The Technical Staff at Microsoft AI
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Bischof is an ML engineer and PhD statistician with nine years of experience building production-ready machine learning systems across Google, Facebook, Cohere, and now Microsoft AI. He specializes in applied ML for generative models, code generation, and search/ranking, and has extended the Keras ecosystem with domain-specific components for state-of-the-art NLP and vision. His work blends research rigor—novel statistical models from his Harvard PhD—with practical engineering, contributing backend text-generation utilities to the popular keras-hub project. At Facebook he led embedding-based retrieval and representation learning for Marketplace search, and at Cohere focused on synthetic data and code generation at scale. Based in Seattle, he combines deep probabilistic insight with large-scale software delivery, often surfacing subtle evaluation and sampling strategies that improve real-world model behavior.
8 years of coding experience
10 years of employment as a software developer
PhD Statistics, PhD Statistics at Harvard UniversityBachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at University of Notre Dame
Github Skills (9)
text-generation10
keras10
machine-learning10
deeplearning-ai10
nlp10
deep-learning10
tensorflow10
python10
jax3
Programming languages (3)
Github contributions (5)
keras-team/keras-hub
Jul 2022 - Jan 2023
Pretrained model hub for Keras 3.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:475 reviews, 26 commits, 73 PRs in 6 months
Contributions summary:Jonathan primarily contributed to the `keras-hub` repository by implementing and refining text generation utilities. They focused on handling prompt lengths within text generation algorithms and adding warnings to the `top_k_search` function. Furthermore, the user made edits to the existing test files, adding tests to verify new features. These contributions showcase the user's focus on the underlying logic and functionalities of text generation, in line with the core function of the repository.
nlppythondeep-learninglanguage-processingmachine-learning
jbischof/algo_practice
Jun 2017 - May 2022
Contributions:110 pushes, 1 branch in 4 years 11 months
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