German Lancioni
Principal Engineer Chief AI Scientist Sr. Innovation Software Architect - CTO Office
California, United States
Summary
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Top SchoolGerman Lancioni is a Principal Engineer and Chief AI Scientist based in California who designs AI-, GenAI- and ML-driven defenses against emerging cyber threats, from steganography and covert channels to cryptojacking and mobile/IoT attacks. With eight years in advanced roles at McAfee and prior engineering and academic experience at Intel and multiple universities, he leads rapid ideation and MVP delivery across endpoint-to-cloud protection while holding more than 45 patents. He applies probabilistic data structures and disruptive inspection techniques to anticipate threats rather than react, and his open-source contributions include technical documentation for the widely used mlpack C++ ML library. A former founder of IoT and game-framework startups and an experienced professor, he blends practical product delivery, IP generation, and research-driven innovation.
7 years of coding experience
17 years of employment as a software developer
Master of Science - MS Cybersecurity & Data Science, Master of Science - MS Cybersecurity & Data Science at St. Bonaventure UniversityPostgraduate Certificate Computer Software Engineering, Postgraduate Certificate Computer Software Engineering at Universidad Católica de CórdobaCertificate Program Computer Software Engineering, Certificate Program Computer Software Engineering at Universidad Tecnológica NacionalMaster of Science - MS Computer Software Engineering, Master of Science - MS Computer Software Engineering at Universidad Alfonso X El Sabio
English, Spanish, Portuguese
Github Skills (8)
windows10
machine-learning10
machine-learning-models10
documentation10
cprogramming-language9
cplus9
c-language9
cpp9
Programming languages (5)
Github contributions (5)
mlpack/mlpack
Jun 2018 - May 2019
mlpack: a fast, header-only C++ machine learning library
Role in this project:
Technical Writer
Technical WriterContributions:5 reviews, 52 commits, 4 PRs in 11 months
Contributions summary:German's commits primarily focus on creating and refining documentation for the mlpack library, specifically targeting Windows build instructions and a sample machine learning application. The contributions include detailed guides on setting up the build environment, compiling the library from source, and creating a sample C++ application using mlpack, including code examples and explanations. Furthermore, the user made improvements to existing documentation, clarified sections, and added license headers.
regressionheaderdeep-learningscientific-computingc-plus-plus
gmanlan/mlpack
Jun 2018 - May 2019
mlpack: a scalable C++ machine learning library --
Contributions:17 pushes, 4 branches in 10 months
scalabledeep-learningmachine-learningmachine-learning-librarylibrary-learning
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