Ayush Dosaj is a security engineer with nine years of hands-on experience in malware analysis, reverse engineering, and C++, currently focused on detection and telemetry at Amazon. He has a strong research background across industry leaders and specialist firms—Trellix/FireEye-Mandiant, Qualys, and Spell Security—where he advanced EDR capabilities and threat research. Ayush has contributed to the open-source DRAKVUF hypervisor-based binary analysis project, fixing subtle bugs and improving plugins for socket, debug, and file-operation tracing in Linux guests. His work blends low-level systems expertise with practical product impact, from injecting function calls at the hypervisor layer to improving production telemetry. Based in Bengaluru with a BTech in Computer Science and Information Security from VIT, he pairs academic foundations with prolific applied security engineering. Colleagues know him for turning intricate reverse-engineering insights into reliable detection and tooling.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Vellore Institute of Technology
Education, Education at City Montessori School
Education, Education at The Sanskaar Valley School
Contributions:8 commits, 10 PRs, 32 comments in 1 year 5 months
Contributions summary:Ayush primarily focused on bug fixes and code cleanup within the DRAKVUF black-box binary analysis project. Their contributions include addressing trivial bugs by correcting return statements and removing empty statements in various source files. They also corrected typos and defined identifiers in dedicated statements for improved code readability. The user's work involved modifying code within plugins related to socket monitoring, debugging, and file deletion.
Contributions:74 pushes, 14 branches in 1 year 5 months
binary-analysisboxanalysisbinariesperl
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