Behzad Golshan
Research Scientist at Megagon Labs
California, United States
Summary
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SeniorBehzad Golshan is a machine learning and NLP engineer with nine years of research-to-production experience building knowledge-base driven NLP systems, QA and dialogue models, and crowd-curated datasets. He holds a PhD in Computer Science from Boston University and has shipped research and product work across Megagon Labs, Twitter, Google (including DeepMind), and now OpenAI. His projects include Sampo (automatic KB construction from reviews) and the widely-cited HappyDB dataset of moments that make people happy, reflecting a knack for turning human-centric data into usable models. Comfortable bridging rigorous research and large-scale engineering, he focuses on boosting model performance through structured knowledge and novel data curation. Based in California, he brings both academic depth and practical impact, plus a not-so-hidden enthusiasm for A.C. Milan.
9 years of coding experience
Github Skills (22)
python-docker10
kaggle9
speech7
huggingface7
python7
nlp6
natural-language-processing6
datasets6
computer-vision5
question-answering5
ai5
tensorflow5
deep-learning5
pandas5
machine-learning5
Programming languages (2)
Github contributions (5)
biggorilla-gh/workflows
Dec 2016 - Jun 2017
Contributions:50 commits, 7 PRs, 19 pushes in 6 months
behzadg/to_merge_koko
Sep 2017 - Dec 2017
Contributions:4 PRs, 19 pushes, 1 branch in 3 months
nlpextractionpythonentityentity-extraction
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