Eli Simhayev is a research engineer based in Tel Aviv with 10 years of experience building and deploying ML systems, specializing in time-series models and foundational approaches for brain decoding. He has contributed to Hugging Face's Transformers research on time-series (Informer, Autoformer) and now works on foundational models at Hemispheric applying deep learning to neuroscience. Eli's background spans academic research (GANs for synthetic data and membership-inference work), defense-grade large-scale time-series deployments at Unit 8200, and applied research engineering in startups. He combines rigorous MSc-level training with hands-on open-source contributions and a history of teaching, which informs his focus on interpretable, production-ready models.
10 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Ben-Gurion University of the Negev
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contributions:160 pushes, 15 branches in 11 months
pytorchnlptransformersartdeep-learning
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