Omer Kirnap
Applied Scientist II at Amazon
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolOmer 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.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Koç UniversityUniversity College London
Github Skills (52)
julia9
deep-learning8
machine-learning8
sentence8
evaluation7
electra7
data-science7
similarity7
automatic-differentiation7
roberta7
nlp6
django-admin6
sentence-similarity6
tensorflow6
word-embeddings6
Programming languages (6)
Github contributions (5)
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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