Memo Ugurbil
Cryptography Engineer at Nillion- Claim this Profile
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English -
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Turkish -
Topline Score
Bio
Credentials
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Oracle Database 11g
Oracle -
Private Pilot
Federal Aviation Administration
Experience
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Nillion
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Switzerland
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Computer and Network Security
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1 - 100 Employee
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Cryptography Engineer
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May 2022 - Present
- Bring secure multiparty computation to the masses! - Advance the state of the art in secure multi-party computation. - Prototype algorithms and cryptographic protocols in Python. - Design and implement performant cryptography and math libraries in Rust. - Analyze data and build models for tokenomics using Markov chains. - Bring secure multiparty computation to the masses! - Advance the state of the art in secure multi-party computation. - Prototype algorithms and cryptographic protocols in Python. - Design and implement performant cryptography and math libraries in Rust. - Analyze data and build models for tokenomics using Markov chains.
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Google
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United States
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Software Development
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700 & Above Employee
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Software Engineer, Machine Learning
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Sep 2018 - May 2022
- Designed and implemented infrastructure for Comments features to be used in the YouTube recommendation system. - Planned and launched nomination and ranking experiments, improving key metrics such as Watch Time. - Designed and implemented infrastructure to process data at scale, pipelines to aggregate YouTube’s top user metrics with many slicing capabilities, and datasets to populate most important dashboards. - Analyzed data and trained channel based models to improve distribution that was both growth-positive and quality-positive. - Explored data to develop metrics for key decision making for YouTube’s alternative content types. Show less
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University of Minnesota
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United States
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Higher Education
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700 & Above Employee
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Machine Learning Researcher & Data Scientist
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Jun 2017 - Sep 2018
- Developed algorithms for optimization, including a fast method to calculate confidence intervals that reduced the runtime of our experiment from 8 months of CPU time down to a minute. - Built and maintained pipelines for automation of machine learning procedures including data preprocessing, hyperparameter selection and analysis. - Conducted feature selection, causal graph building, and classification experiments on various datasets such as gene expression. - Developed algorithms for optimization, including a fast method to calculate confidence intervals that reduced the runtime of our experiment from 8 months of CPU time down to a minute. - Built and maintained pipelines for automation of machine learning procedures including data preprocessing, hyperparameter selection and analysis. - Conducted feature selection, causal graph building, and classification experiments on various datasets such as gene expression.
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NYU Courant Institute of Mathematical Sciences
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United States
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Higher Education
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1 - 100 Employee
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Recitation Leader
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Sep 2014 - Dec 2015
- Lectured for Mathematical Modeling Course including Global Positioning System, Markov chains and Page Ranking Algorithm, stochastic models, and population dynamics. - Lectured for Mathematical Modeling Course including Global Positioning System, Markov chains and Page Ranking Algorithm, stochastic models, and population dynamics.
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Garanti BBVA Teknoloji
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Türkiye
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IT Services and IT Consulting
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700 & Above Employee
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Stajyer
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May 2014 - Aug 2014
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Center for Magnetic Resonance Research
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Greater Minneapolis-St. Paul Area
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Research Assistant
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May 2012 - Aug 2012
Implemented coil compression to increase computation speed in addition to data acquisition speed. Programmed these algorithms in MATLAB together with image filtering and noise whitening algorithms to get better image quality. Implemented coil compression to increase computation speed in addition to data acquisition speed. Programmed these algorithms in MATLAB together with image filtering and noise whitening algorithms to get better image quality.
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Oracle
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Software Engineer Intern
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May 2011 - Aug 2011
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Lake Forest College
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United States
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Higher Education
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400 - 500 Employee
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Research Scholar
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May 2010 - Aug 2010
Developed evolutionary game theoretical models through theoretical and computational methods. Developed evolutionary game theoretical models through theoretical and computational methods.
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Education
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New York University
Master of Science (MSc), Mathematics -
Lake Forest College
Bachelor of Arts (B.A.), Mathematics, Physics -
Robert College
High School, Science -
NOLS
Leadership