Omer Kirnap

Founder at verapulse

San Francisco Bay Area United States
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Summary

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Rockstar
🎓
Top School
Omer Kirnap is an applied scientist with 11 years of experience building data-driven machine learning solutions across academia and industry, currently working on generative AI and search for Alexa at Amazon while also engaged with a stealth AI startup. He holds advanced training in NLP and deep learning (MSc, PhD candidate) and has published and been recognized in top conferences for work on dependency parsing and word embeddings. His practical experience spans credit scoring, sentiment analysis, sampling and estimation, algorithmic fairness, and production ML tooling using AWS and PySpark. Omer contributed to the Julia-based Knet deep learning library, reflecting a willingness to work on lower-level frameworks as well as applied product problems. Comfortable moving between research and production, he focuses on mitigating bias in ML systems and translating novel algorithms into scalable services. Based in the San Francisco Bay Area, he combines rigorous academic insight with hands-on engineering at scale.
code11 years of coding experience
job7 years of employment as a software developer
bookMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Koç University
bookUniversity College London
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Github Skills (54)

julia10
data-science9
machine-learning9
deep-learning9
automatic-differentiation8
similarity7
video-understanding7
django-admin6
python6
benchmark6
sentence6
sentence-similarity5
nlp5
roberta5
natural-language-processing5

Programming languages (7)

JuliaTypeScriptSCSSJupyter NotebookRubyPythonEmacs Lisp

Github contributions (5)

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kirnap/ku-dependency-parser2

Apr 2018 - Apr 2019

Contributions:96 commits, 87 pushes, 1 branch in 1 year
kirnap/algorithms-in-python

Sep 2015 - Jan 2016

Contributions:25 commits, 1 PR, 21 pushes in 3 months
implementationspython
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