Amirhossein Herandi
Applied Scientist at Amazon
Kirkland, Washington, United States
Summary
👤
Senior🎓
Top SchoolAmirhossein Herandi is an Applied Scientist with nine years of experience specializing in fine-tuning large language models and applying deep learning across NLP, computer vision, and fraud prevention. He has driven production-focused transfer learning and NER work using PyTorch and Hugging Face Transformers at AstrumU and now advances applied research at Amazon. His background spans industry and academia—MS in Computer Science from UT Arlington and hands-on NLP internships at Siemens Healthineers—bringing both experimental rigor and applied deployment sense. Known for pragmatic model adaptation (BERT/GPT-2 families) and cross-domain ML pipelines, he combines research-grade techniques with production requirements in high-stakes settings.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at ArlingtonBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Sharif University of Technology
English, Persian
Github Skills (49)
agent8
deep-dream8
shap7
expressions7
machine-learning7
sdk7
deep-learning7
embedding7
python7
lora7
quantization7
azure6
gpt6
ai6
segmentation6
Programming languages (2)
Github contributions (5)
herandy/DEPICT
Jul 2017 - Aug 2017
Contributions:35 commits, 8 comments, 4 issues in 14 days
herandy/Laplacian-AE-Kmeans
Jul 2016 - Sep 2016
Contributions:88 pushes, 1 branch in 1 month
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