I work across technical defense, threat intelligence, and governance to strengthen resilient systems under adversarial pressure and organizational uncertainty.
Browser-based AI video authenticity analyzer. Extracts frames and runs six forensic detection modules including temporal consistency, sensor noise analysis, and metadata profiling against known AI generation signatures.
Credential breach aggregation and policy analysis system. Designed entropy scoring and structured risk categorization logic, reducing manual credential review by approximately 40%.
AI-powered multi-agent cyber threat intelligence pipeline that collects OSINT signals, analyzes cyber risks, and generates structured threat intelligence briefs related to space systems and critical infrastructure.
Identity-centric threat mapping framework for cloud AI infrastructure. Maps MITRE ATLAS attack tactics to machine identity over-privilege in AWS environments with continuous CloudTrail monitoring.
Threat intelligence and detection engineering framework focused on advanced attack surface mapping and zero-click exploitation analysis. Structured mapping aligned with MITRE ATT&CK.
Large-scale critical infrastructure exercise combining technical incident response and governance-level decision simulation for public-private coordination.
Space Optical Communications Cyber Risk Mapper. Interactive risk assessment comparing RF vs optical architectures for NASA Artemis-class missions, with NIST SP 800-53 and MITRE ATLAS mappings.
My work integrates technical security engineering with institutional decision-making. I focus on designing defensive systems that remain functional under uncertainty, adversarial pressure, and organizational complexity, translating deep technical analysis into actionable governance and policy recommendations.
Open to research collaboration, applied security work, and policy-informed technical initiatives. Currently seeking summer opportunities in security strategy and governance.