Building security systems people actually trust and use. I combine cybersecurity analysis, human-centered design, and AI-assisted product thinking to make digital safety clearer, safer, and more usable.
About Me
I focus on human-centered cybersecurity: building systems, workflows, and security communication that people can actually understand, trust, and use under pressure.
My work connects cybersecurity analysis, secure UX thinking, AI-assisted documentation, and product-minded security projects. I care about reducing alert fatigue, preventing unsafe workarounds, and translating technical risk into clear decisions for users, teams, and organizations.
Client Work, UX Case Studies & Cybersecurity Labs
Each project highlights the problem addressed, process, and available evidence so recruiters and prospective clients can understand the security thinking, product-building ability, and human-centered impact quickly.
Built an AI-assisted market research and paper-trading workflow with protected API access, validation checks, human approval controls, and auditable activity logs.
Built a Google AI Studio active-defense application that generates context-aware decoys, ingests threat telemetry, records incidents, and supports SIEM forwarding and SOAR-style response workflows.
Solved the conflict between e-commerce conversion and account security by adding transparent checkout cues, password resilience feedback, and secure-by-default trust patterns.
Built a SOC triage workflow that solves alert fatigue by clustering repeated auth events into one prioritized investigation path with clearer severity, context, and response actions.
Solved vulnerability overload by turning scan output into prioritized remediation cards with severity, affected service, evidence, and practical patch guidance.
Designed a secure cloud baseline that solves misconfigured admin-access risk by provisioning infrastructure with restrictive security groups and explicit access controls.
Built a PKI lab that solves the mystery of browser trust by creating a root CA, signing CSRs, deploying TLS, and testing certificate-chain failures.
Solved boundary exposure problems by designing firewall ACLs, NAT rules, and validation tests to reduce visible services during simulated reconnaissance.
Product Vision
SM Cyber Design LLC is exploring an AI-powered cyber safety companion designed to help everyday users make safer digital decisions before they click, reply, download, or share sensitive information.
Inspired by the simplicity of old antivirus tools but redesigned for today’s scam-driven internet, the product vision focuses on phishing awareness, suspicious-link checking, scam message review, safe online behavior, and simple guidance for vulnerable users.
family-safety-ai.demo
User: “Someone texted me asking for my bank code. Is this safe?”
AI Safety Companion: This is suspicious. Do not share the code. Do not reply. Call your bank using the number on your card.
Risk level: High · Recommended action: Stop and verify
“Attackers exploit human friction. When security controls are too difficult to follow, users invent workarounds that open back doors. True security is not about forcing compliance; it is about making the secure path the easiest path.”
Thought Leadership
How visual transparency prevents security analysts from bypassing automated alert models — and why Explainable AI is a UX mandate, not just an engineering goal.
Why my UX background is my primary engine for building structural digital resilience — and how I came to understand that “human error” is always a design failure.
Why data displays are the first line of defense against advanced persistent threats, and how designing for high-stress comprehension directly reduces threat dwell time.
Get in Touch
Open to full-time cybersecurity analyst roles, UX/security hybrid positions, and contract engagements. Based in Atlanta, GA — available remotely nationwide.