Niko Gekakis
Law Clerk at Cleary Gottlieb Steen & Hamilton LLP
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNiko Gekakis is a multidisciplinary technologist and law professional with a Master’s in Computational Data Science from Carnegie Mellon and a JD from the University of Michigan, blending rigorous legal training with deep machine learning and data engineering expertise. With a decade of experience and six years of Python development, he has built predictive models and large-scale data systems at companies like Indeed and worked hands-on with Spark, Hadoop, SQL/NoSQL, NLP and deep learning. Currently a Law Clerk in Cleary Gottlieb’s Financial Institutions Group, he uniquely bridges legal and technical domains, making him well-suited for data-driven regulatory, compliance, or fintech challenges. His background includes applied research engineering and practical deployment of recommendation and classification systems, plus experience with distributed computing in production settings. Colleagues describe him as equally comfortable parsing complex statutes as optimizing ML pipelines, a combination that accelerates cross-functional decision-making. Based in New York, he’s looking to apply this hybrid skill set to roles that require both technical depth and legal insight.
10 years of coding experience
4 years of employment as a software developer
Doctor of Law - JD, Doctor of Law - JD at University of MichiganBachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at University of RochesterMaster's degree, Computational Data Science, Master's degree, Computational Data Science at Carnegie Mellon University
Github Skills (8)
plot9
vega8
vega-lite8
visualization7
charts6
grammar6
pipeline6
pipeline-framework4
Programming languages (2)
Github contributions (5)
RyanLeiTaiwan/Airbnb_NLG
Mar 2017 - Dec 2017
Contributions:23 commits in 8 months
ngekakis/PDS_FakeNews
Apr 2018 - May 2018
Contributions:5 commits, 2 pushes in 1 month
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