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Summary
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SeniorChristian Hammerschmidt is a Director and machine learning leader based in Delft with 11 years of experience building ML-driven security products, currently focused on bot and fraud mitigation at Intuition Machines. He co-founded APTA Technologies to translate noisy log and cyber data into actionable visual insights for fast root-cause analysis and non-technical decision makers. His academic background (PhD and postdoc at University of Luxembourg and TU Delft) informs practical work on state machine learning, protocol and program synthesis, and representation learning for discrete/tabular security data with scarce labels. He combines deep learning and probabilistic programming to tackle telecommunication fraud and financial-transaction problems where conventional supervised approaches fail. Known for bridging research and product, he repeatedly moves prototypes into operational systems and emphasizes explainability for stakeholders. Outside core work he engages in DFIR-related tooling and community activities from his long tenure in European research labs.
11 years of coding experience
Github Skills (6)
finite-automata8
state-machine7
cpp6
scripting-language5
python-functions1
command-line1
Programming languages (3)
Github contributions (5)
nicholasRenninger/dfasat
Jun 2015 - Jun 2018
*Fork* flexfringe is a tool for learning finite state machines, also known as deterministic finite automata. It brings common merge heuristics such as alergia, EDSM, likelihood-ratio, and others, but also offers a flexible interface to easily add custom merge heuristics. It is based on Sicco Verwer's implementation of a state-merger in C++ called dfasat.
Contributions:175 commits in 2 years 11 months
cppfinite-automatastate-machine
SPAlux/handbook
Feb 2015 - Apr 2017
A handbook for sharing experiences among young researchers at SnT, especially for newbies
Contributions:6 commits in 2 years 2 months
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