Security Engineering | AI Security Research | Bug Bounty | Detection Engineering
I am a Senior Security Engineer focused on building, operating, and testing security systems across SIEM, SOC, cloud, automation, AI security, and offensive research. My work sits at the intersection of detection engineering, infrastructure security, AI-enabled security workflows, and practical vulnerability research.
I use GitHub for security labs, AI security research notes, bug bounty methodology, automation scripts, and tooling that turns repeatable security work into reliable engineering workflows.
- Detection engineering, SOC operations, SIEM pipelines, and alert quality
- AI security research, LLM application testing, prompt-injection analysis, and agentic workflow risk
- Security automation for triage, enrichment, evidence collection, and reporting
- Web application, API, OAuth/JWT, and access-control security research
- Bug bounty recon, JavaScript/API mining, and proof-of-concept driven vulnerability research
- Cloud security across AWS and Azure environments
- Homelab security, adversary emulation, and defensive telemetry
- Building AI-assisted security automation and research workflows for vulnerability discovery
- Expanding SOC lab coverage with realistic attack and detection scenarios
- Developing bug bounty methodology around APIs, identity, and data exposure
- Researching AI security issues across LLM apps, agent workflows, and defensive tooling
- Documenting practical security engineering lessons and research findings

