Contributions
[EXPERIENCE]
Application Security & AI Systems Engineer
- Identify and remediate access-control issues across object-level authorization, privilege context, and tenant boundaries.
- Design RBAC models that stay consistent across data layer, API routes, client state, and operator surfaces.
- Harden identity end to end: authentication, authorization, session architecture, provisioning, and account-claim flows.
- Enforce default deny with row-level security, secure failure modes, and explicit error handling.
- Direct agentic development workflows across parallel isolated environments and verify output rather than trust it.
Technical Recruiter
- Sourced and screened 300+ candidates across IT, cybersecurity, and administrative roles.
- Redesigned 120+ resumes to meet vendor and client submission requirements.
- Coordinated 80+ interviews and supported 25+ successful placements from intake to start date.
- Cut unqualified pipeline volume by 40% through tighter screening and submission processes.
IT & AI Systems
- Architected the enterprise knowledge base and agent policy layer behind a staff AI assistant.
- Deployed a self-hosted MCP client inside the company’s own cloud tenancy.
- Rebuilt talent acquisition end to end: candidate database, careers front-end, and inbound funnel.
- Automated employee onboarding, HR operations, and social-to-sales distribution.
[RESULTS]
- Removed privileged backend functions from the public API surface and cut default provisioning to least privilege.
- Closed gaps where unauthenticated requests could return member-scoped data.
- Locked down a writable policy store and restored role checks on bypassed routes.
- Closed the year at $1.2M and projecting $1.8M.
- Four processes that used to need a person now run unattended.