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 at eBay with 11 years of experience and a PhD focus in Computer Science at the University of Amsterdam, specializing in information retrieval, NLP, and machine learning. He led NLP and contact-center AI efforts at ING, moving research into production while managing cross-functional ML teams. An active open-source contributor who lists Google Brain on GitHub, Hadi has upstream contributions to Google Research’s Scenic (adding a ViT baseline), Flax (examples, docs and test fixes) and Tensor2Tensor (Universal Transformer refactor), evidencing a practical bent toward reproducible, production-ready ML. His background pairs top-tier academic credentials (Sharif master’s with high honors and NODET training) with hands-on engineering, from fixing model instantiation bugs to designing transformer-based retrieval models.
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, GPA: 17.9/20, Thesis: 19.8/20, Master's degree, Information Retrieval, GPA: 17.9/20, Thesis: 19.8/20 at Sharif University of Technology
English, Persian, Dutch
Github Skills (20)
transformers10
python10
machine-learning10
recurrent-neural-networks10
flax10
transformer-models10
recurrent-neural-network10
tensorflow210
deep-learning10
tensorflow10
model-optimization10
hyperparameter-tuning10
computer-vision10
jax10
documentations9
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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