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Adam Tout
Intern Software Engineer specializing in IAM, iOS, and AI security
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About
Early-career engineer who built a self-directed production-grade security scanning/analysis pipeline that normalizes multi-scanner results, correlates CVEs, and uses an LLM to generate exploit hypotheses—then hardened it for real-world reliability (timeouts, confidence scoring, feature flags, graceful degradation). Also integrated a real-time audio ML model into Discord/Zoom and debugged intermittent latency/dropouts across Python inference, virtual audio drivers, and network jitter; experienced with IAM integrations (Entra ID/Salesforce) and cloud tooling (AWS/Docker/Kubernetes).
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Key Strengths
- Deployed complex security automation against real production targets with reliability/safety constraints
- Systematically reduced scan noise and instability via timeouts, gating, confidence scoring, and auditable logging
- Handles high environment variance (legacy TLS/auth quirks/rate limiting) with adaptive logic, fallbacks, and safe failure modes
- Iterative, operator-driven development using reproducible runs, version-controlled config, and feature flags
- Cross-layer debugging across software, hardware/driver behavior, and networking (audio dropouts/latency in real-time apps)
- Strong application/network security troubleshooting (HTTP/TLS, OAuth/JWT) using Wireshark and Burp Suite
- Cloud/hybrid deployment experience with AWS, Docker, Kubernetes, and CI/CD
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