Security researcher with deep focus on AI-assisted vulnerability detection. Engineered custom reverse engineering models to automate defect discovery in compiled binaries.
Work has directly contributed to securing the internet ecosystem, including 4 confirmed vulnerabilities in Google Open Source projects and multiple critical severity CVEs in Industrial Control Systems. Helped more than 400 companies secure their data.
Discovered and disclosed two critical vulnerabilities in Industrial Control Systems, acknowledged by CISA.
Identified 4 distinct vulnerabilities in Google's Open Source Software ecosystem. Coordinated with maintainers to patch and verify all fixes.
Developed a proprietary AI model for static binary analysis, significantly reducing time to identify buffer overflows and logic errors in compiled code.
Engineered a scalable framework integrating custom exploit chains and reporting tools to streamline vulnerability validation across large enterprise networks.
Built a centralized Cyber Threat Intelligence platform aggregating real-time IOCs from multiple feeds, with automated correlation and threat scoring for SOC teams.
Developed PoC samples to study advanced evasion techniques and EDR bypass methods. Research focuses on defensive countermeasures and behavioral analysis signatures.