Impact
Reduced first-pass malware and suspicious-file triage into structured analyst workflows.
Profile
Electronics Engineer and Cybersecurity Engineer working across hardware, software, and AI, with a focus on reverse engineering, SAST, and Application Security.
My electronics engineering foundation connects physical systems with the code that controls them. In cybersecurity, that perspective spans binary and non-binary reverse engineering, SAST, Application Security, and the security of AI-enabled systems.
4th place · October 2016 Electronics Engineer Licensure Examination
Malware analysis has been part of my work since the start of my career, across varied malware types. My public notes explain the analysis methods with reproducible examples.
Impact
Reduced first-pass malware and suspicious-file triage into structured analyst workflows.
Impact
Improved consistency of security findings through automation, normalized evidence, and detection-oriented outputs.
Impact
Worked across network, security, and automation domains instead of operating in a single tooling silo.
An engineering perspective on cybersecurity
Devices run software. Software increasingly integrates AI. I bring these perspectives together to understand behavior, assess risk, and strengthen the systems at their intersection.
An electronics engineering foundation for understanding devices, connected systems, and the boundary between physical behavior and software control.
Electronics · IoT & IIoT · Network infrastructure
Reverse engineering binary and non-binary code to understand behavior, alongside static application security testing (SAST) and Application Security to identify weaknesses in applications.
Binary analysis · Scripts & source code · SAST · AppSec
A security focus on AI-enabled systems: their data, application integrations, and automation boundaries, together with AI-assisted analysis workflows.
AI security · Integration risks · Security automation
Analysis in practice
A fresh educational demonstration of binary reverse engineering, with source, recorded ARM64 disassembly, and 18 behavior checks.
Core practice
Understanding how systems work, identifying where they can fail, and translating analysis into practical improvements.
01
Analyze compiled binaries, scripts, and other non-binary code to recover behavior, investigate threats, and turn technical findings into defensive action.
02
Use static application security testing, code review, and analysis automation to identify risky patterns, assess findings, and support remediation.
03
Bring hardware and software context to the security of AI-enabled applications, connected devices, and the infrastructure linking them.
Capabilities
From compiled code and scripts to application analysis, connected infrastructure, and AI-enabled workflows.
Experience
Experience spanning malware investigations, static analysis, security operations, and network engineering.
Designed and supported network operations across WAN, MPLS, IPVPN, SaaS, and hybrid environments while applying Python, PowerShell, APIs, and Terraform-based automation to improve validation, observability, and escalation response.
Led deep-dive malware investigations, converted reverse engineering output into actionable detections, and improved analyst decision speed through automation-assisted suspicious file triage.
Built and tuned static analysis logic, automation workflows, and telemetry-driven investigation processes to surface risky code behaviors earlier and reduce manual review overhead.
Produced technical threat narratives, research artifacts, and automation-ready knowledge outputs that helped teams understand adversary behavior, investigation strategy, and cross-domain telemetry patterns.
Maintained visibility into network events, handled escalations across routers, switches, and WAN links, and supported disciplined incident workflows for fault isolation and service restoration.
Certifications
These badges are rendered from the issuer-hosted source rather than recreated locally.
Certification 01
Certification 02
Certification 03
Contact
If you want to start a conversation, email is the fastest path.
Primary Channel
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[email protected]