Amir Alavi
Senior Machine Learning Engineer at Apple
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAmir Alavi is a Senior Machine Learning Engineer in San Francisco with 11 years of experience applying ML and computational biology to real-world problems. Trained at Carnegie Mellon with graduate work and research roles spanning immunomics and proteomics, he builds production ML systems and novel deep-learning methods (PyTorch/TensorFlow) for biotech and consumer platforms. At Seer he led an adversarial neural network approach to correct LCMS proteomics batch effects and presented results at ICML and major domain conferences, and he now contributes to Intelligent System Experience at Apple. His background blends rigorous research, hands-on software engineering across companies like Microsoft and Intel, and experience shipping privacy- and web-security-related ML prototypes. Notably, he pairs domain expertise in computational biology with production-savvy engineering, enabling models that move from benchmark studies into deployed products.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Michigan College of EngineeringDoctor of Philosophy (Ph.D.), Machine Learning and Computational Biology, Doctor of Philosophy (Ph.D.), Machine Learning and Computational Biology at Carnegie Mellon University School of Computer Science
Persian, Spanish, English
Github Skills (88)
automl10
hyperparameter-tuning10
automated-machine-learning10
meta-learning10
scikit-learn10
jax9
python9
seq9
deep-learning9
hyperparameter-optimization9
pytorch9
machine-learning9
data-science9
iterative9
tensorflow9
Programming languages (7)
Github contributions (5)
AmirAlavi/tied-autoencoder-keras
Jun 2018 - Mar 2021
Contributions:2 releases, 9 commits, 5 pushes in 2 years 9 months
AmirAlavi/scipr
May 2020 - Feb 2021
Single Cell Iterative Point set Registration (SCIPR) to align scRNA-seq data
Contributions:3 releases, 53 commits, 6 PRs in 9 months
iterativeregistrationscrna-seqpointbioinformatics
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