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Cybersecurity engineer who ships, across automotive and software alike. I build systems where the security controls are part of the product, not a document filed next to it — firmware trust chains that hold up on a bench, detections that fire on real traffic, and governance layers that actually block a bad agent call.
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Product Cybersecurity Intern · Bosch Mobility · Product Security / M-TEL · Farmington Hills, MI · 2025–2026
| Product security visibility | Built an intake and reporting platform used across multiple engineering divisions, replacing spreadsheet tracking with a shared system of record — intake wizard, status model, validation, admin review queue. |
| Process automation | Automated a manual engineering workflow end to end with Power Automate and SharePoint, cutting out repeated cross-team coordination. |
| Secure boot research | Researched secure boot for automotive ECUs — chain-of-trust verification and TPM-based attestation, and how they map to real vehicle architectures. Turned it into an internal one-pager through documentation review and SME interviews. |
| AI & knowledge tooling | Built an LLM onboarding assistant prototype at an internal AI hackathon, and an AI-assisted whitepaper drafting tool for technical documentation. |
| Exercises | Supported an automotive cybersecurity fire drill and a cross-divisional awareness event; took part in an internal CTF and AI hackathon. |
Public-facing summary. No confidential company information, internal data, source code, or proprietary material is disclosed.
The networking and support fundamentals under the security work — how the traffic actually moves, and what breaks for the person on the other end of it.
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A control plane that sits between an agent and the things it can break. Risk-scores every proposed action, screens for prompt injection, routes anything above threshold to a human, and writes a durable, audit-ready decision history.
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Job-intelligence platform built around verifiability: every extracted claim links back to the source posting, and matches explain themselves instead of handing you a mystery score.
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Full-stack Raspberry Pi operations dashboard — live system monitoring, remote SSH access, file management, AI-assisted automation, one-click deployment.
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Enterprise Power Platform application for project intake and tracking, backed by SharePoint Online lists with Power BI reporting across divisions.
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Local-first document analysis — structured extraction, risk flagging, and a human review step. Nothing leaves the machine.
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Self-hosted AI job-application agent, human-in-the-loop by design — the agent drafts and stages, a person approves and sends.
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More: ForecastAI · MeshLink iOS (BLE mesh, AES-256-GCM) · Network Utility Tool · Portfolio site
Documented hands-on security labs and research covering detection, vulnerability management, network security, system hardening, and application security. What each repository contains varies — follow the link to see the artifacts behind it.
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Offensive & AppSec
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Defense & Detection
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Vuln Mgmt, Network & Embedded
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