Nikolaos Vasiloglou
Vice President Of Research ML at Anymeets
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolNikolaos Vasiloglou is a seasoned machine learning leader and VP of Research ML with 19 years of experience building scalable ML systems and products from research to production. Based in Atlanta, he has led data science and research teams at RelationalAI, architected demand-forecasting and knowledge-graph solutions, and driven AI for customer service and security across startups and enterprise teams. A founder and advisor who co-created MLTrain and Datawise and served as CEO of Ismion, he blends hands-on algorithm development (contributions to the popular mlpack C++ library, including k-NN and binary-tree work) with product and go-to-market leadership. His background includes multiple patents, published research on graph-based security detection, and teaching executive education at Georgia Tech, reflecting a rare mix of deep technical rigor and practical business impact. Notably, he has repeatedly moved advanced academic algorithms into production-scale systems used by major retailers, fintech and telecom clients.
19 years of coding experience
15 years of employment as a software developer
MSc, Electrical and Computer Engineering, MSc, Electrical and Computer Engineering at Georgia Institute of Technology
Russian, Greek
Github Skills (12)
algorithm10
nearest-neighbor-search10
data-structures10
algorithms10
c-language10
cprogramming-language10
data-structure10
nearest-neighbors10
template-metaprogramming9
machine-learning9
refactoring8
refactor8
Programming languages (3)
Github contributions (5)
mlpack/mlpack
Apr 2007 - Apr 2009
mlpack: a fast, header-only C++ machine learning library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:476 commits, 2 issues in 1 year 11 months
Contributions summary:Nikolaos primarily worked on implementing the binary tree implementation for a fast, header-only C++ machine learning library. Their code changes included the creation of a KdPivoter1 class, the modification of existing files with new implementations, and the addition of a new PointIdentityDiscriminator. They also introduced a new application to compute all k-nearest neighbors, showcasing their focus on algorithms and the internal working of the library.
regressionheaderdeep-learningscientific-computingc-plus-plus
vasiloglou/PaperBoat
Jan 2012 - Apr 2014
Contributions:126 commits in 2 years 3 months
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