Hadi Hashemi
Senior Tech Lead & Applied Scientist Manager at eBay
Netherlands
Summary
🤩
Rockstar🎓
Top SchoolHadi Hashemi is a Senior Tech Lead and Applied Scientist Manager with 11 years of industry experience, currently leading ML and NLP efforts at eBay after senior leadership roles at ING. A PhD candidate in Computer Science (Information Retrieval) at the University of Amsterdam, he blends rigorous research in IR, NLP and ML with hands-on engineering to move models from prototype to production. He has contributed to high-profile open-source ML projects—working on the Universal Transformer in tensor2tensor and Vision Transformer baselines in Scenic—demonstrating both model-level improvements and practical code hygiene. Equally comfortable managing teams and tuning hyperparameters, Hadi’s background spans research internships at Microsoft to production ML at large enterprises, and he often bridges academic insight with pragmatic engineering decisions. Notably, his open-source work includes improving developer experience in Flax through documentation and example fixes, highlighting attention to usability as well as algorithmic performance.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Iran University of Science and TechnologyDoctor of Philosophy - PhD Computer Science — Information Retrieval, Doctor of Philosophy - PhD Computer Science — Information Retrieval at University of AmsterdamDiploma Physics and Mathematics Discipline, Diploma Physics and Mathematics Discipline at National Organization for the Development of Exceptional Talents (NODET)Master's degree Information Retrieval, Master's degree Information Retrieval at Sharif University of Technology
English, Persian, Dutch
Github Skills (17)
transformers10
python10
machine-learning10
recurrent-neural-networks10
flax10
transformer-models10
deep-learning10
tensorflow10
model-optimization10
hyperparameter-tuning10
computer-vision10
jax10
neural-network9
lstm9
documentation9
Programming languages (3)
Github contributions (5)
google-research/scenic
Jul 2021 - Jan 2023
Scenic: A Jax Library for Computer Vision Research and Beyond
Role in this project:
ML Engineer
ML EngineerContributions:7 reviews, 168 commits, 23 PRs in 1 year 5 months
Contributions summary:Hadi contributed code for a Vision Transformer (ViT) model, including the definition of an `Encoder1DBlock`, `Encoder`, and the main `ViT` model class. The commits focused on adding baseline models for computer vision tasks within the Scenic framework. The code additions include components for processing image patches and building a multi-label classification model based on ViT.
scenictransformersvision-transformervisiondeep-learning
google/flax
Mar 2020 - Jun 2020
Flax is a neural network library for JAX that is designed for flexibility.
Role in this project:ML Engineer
ML EngineerContributions:5 reviews, 8 commits, 6 PRs in 3 months
Contributions summary:Hadi contributed to the Flax library, focusing on improving documentation and example code. Their work included adding FAQs and an annotated MNIST example notebook for ease of use. The user also addressed bugs in the testing framework and example code, specifically fixing typos and model instantiation issues. Finally, they corrected errors in the model creation process within the flax_intro notebook and the moco example.
deep-learningneural-networksneural-networkflaxjax
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