Zarrar Shehzad
Data Scientist III
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolZarrar Shehzad is a Data Scientist III with 16 years of experience applying machine learning, NLP, and Bayesian deep learning to product-grade problems across audio, video, and human behavior. At Audible he’s improved search relevance with bi-encoder and XGBoost models, built multilingual LLM moderation systems, and architected an end-to-end conversational search explanations pipeline on SageMaker. Previously at CLIPr he drove a tenfold cost reduction via automated video annotation and pioneered speaker identification using Bayesian deep learning. His background as a cognitive neuroscience PhD and postdoc informs a strong grounding in experimental design and interpretable modeling, evidenced by grant-funded work and datasets used by other researchers. Based in the NYC area, he blends research rigor with pragmatic engineering to ship scalable AI solutions that measurably boost user engagement. An understated strength is his track record of translating complex cognitive models into production-ready pipelines that cut costs and improve product relevance.
16 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Neuroscience (Psychology), Doctor of Philosophy - PhD, Cognitive Neuroscience (Psychology) at Yale UniversityBachelor of Science - BS, Psychology, Bachelor of Science - BS, Psychology at McGill University
Github Skills (73)
crowd9
pipeline9
connectivity9
read-write9
linguistics9
knowledge-graph8
markdown8
trello8
clojurescript8
org-mode8
graph8
experimental-design7
electrophysiology7
knowledge-management7
science7
Programming languages (9)
Github contributions (5)
czarrar/rparcellate
Dec 2009 - Feb 2016
Contributions:55 commits, 7 pushes, 1 branch in 6 years 3 months
czarrar/cwas-paper
Oct 2012 - Sep 2015
Contributions:74 commits, 1 push in 2 years 11 months
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