Zacharias Fisches
Postdoctoral Researcher at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolZacharias Fisches is a postdoctoral researcher and machine intelligence engineer with 11 years of experience bridging AI research and product-grade ML systems across startups and industry labs. Currently at Meta FAIR, he focuses on teaching LLMs to generate fast, correct kernels for AI workloads, building on prior work in code generation, representation learning for code, and medical imaging. He helped design clinical Human–AI collaboration systems for breast cancer screening at Vara and has hands-on experience with dense embedding models from roles at 1plusX and Fraunhofer HHI. Zacharias combines strong academic foundations from ETH Zurich and dual bachelor’s degrees in computer science and physics with a founder’s mindset from a D2C startup, enabling pragmatic solutions that move from research prototypes to deployed pipelines. Known for tackling interdisciplinary problems, he often blends systems-level optimization with interpretability and automated image quality assessment in clinical workflows.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Freie Universität BerlinMaster of Science - MS Computer Science, Master of Science - MS Computer Science at ETH Zürich
German, English, Chinese, Swedish, French
Github Skills (148)
python10
deep-learning10
ml10
neural-network10
nlp10
data-science10
comprehension10
tensorflow10
natural-language-processing10
pytorch10
machine-learning10
deep-neural-networks10
control-flow10
llvm-ir10
yaml-configuration9
Programming languages (10)
Github contributions (5)
Zacharias030/ProGraML
Jan 2020 - Aug 2020
Graph-based Machine Learning for Programming Languages
Contributions:4 PRs, 72 pushes, 3 tags in 7 months
graph-baseddata-sciencemachine-learningprogramming-languageslanguages
Zacharias030/ncc
May 2019 - Oct 2019
Neural Code Comprehension: A Learnable Representation of Code Semantics
Contributions:4 PRs, 6 pushes in 5 months
representationsemanticscomprehensioncode-comprehension
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