Full-stack developer and B.S. Computer Science candidate (3.97/4.00 GPA), building secure, production software while researching AI, cybersecurity, and distributed systems.
Currently seeking a fully or substantially funded, research-oriented master's degree starting 2027, in cybersecurity, AI, software engineering, data science, or distributed/cloud systems.
Focus areas: identity & access management, applied security engineering, and ML for security (anomaly detection, RAG, reinforcement learning).
- Aegis-ID - Read-only security posture auditor for Microsoft Entra ID: 15 IAM controls mapped to the CIS Microsoft 365 Benchmark and MITRE ATT&CK, CLI + Angular dashboard, 94 automated tests.
- AuthGuard - From-scratch ASP.NET Core + Angular auth system: Argon2id hashing with HIBP breach checks, rotating JWT refresh tokens with reuse detection, TOTP MFA, RBAC, full audit log.
- AuthBench - Leak-free, alert-budget-constrained benchmark asking how much deep learning actually buys you in authentication-log anomaly detection, on 1B+ real LANL events.
C# .NET ASP.NET Core Angular Python PyTorch TypeScript SQL Microsoft Entra ID Microsoft Graph Docker