John Dunlap

Machine Learning Engineer at Trellix Corporation

New York, New York, United States
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Summary

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John Dunlap is a Machine Learning Engineer and seasoned security researcher with nine years of experience uncovering subtle vulnerabilities across embedded, Windows, and cloud systems. He has driven vulnerability research and exploit development at companies ranging from Trail of Bits to Trellix and Interrupt Labs, with hands-on reverse engineering of Qualcomm AArch32 targets, SOHO routers, and complex Windows patch diffing. Comfortable moving between low-level binary analysis (IDA Pro, Binary Ninja, FRIDA) and higher-level ML and SAT-solver experimentation, he blends offensive security craft with performance-focused tooling and virtualization improvements. Based in New York, he has built Red Team infrastructure, advised on technical strategy, and delivered audits for large architectures while maintaining an unusual background in music composition that informs his methodical, pattern-oriented approach to research.
code9 years of coding experience
job12 years of employment as a software developer
bookBacholers Music, Bacholers Music at Universifty of South Florida
bookMaster's degree Music Theory and Composition, Master's degree Music Theory and Composition at Brooklyn College
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Stackoverflow

Stats
21reputation
815reached
0answers
1question
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Github Skills (59)

symbolic-execution8
smt8
database8
emulation8
persistent8
z38
blockchain8
testing8
security7
storage7
embeddable7
ethereum7
python7
program-analysis7
attestation7

Programming languages (6)

C++CHTMLF#RubyPython

Github contributions (5)

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MrSynAckSter/Presentations

Aug 2018 - Jul 2022

Contributions:4 commits, 1 push, 1 branch in 4 years
Contributions:3 pushes, 1 branch in 9 days
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John Dunlap - Machine Learning Engineer at Trellix Corporation