15+ years across backend engineering, distributed platforms, cloud, storage and cybersecurity. Now bringing AI orchestration, security tooling and production-grade systems together.
Production guardrails are part of the workflow design—not an afterthought.
01 / SELECTED WORK
Across AI-driven security, high-volume data platforms, backup, workflow automation and IoT. Each case file opens into the technical context behind the work.
09 SELECTED CASE FILESTranslate natural-language security requests into controlled assessment workflows using Claude APIs, MCP-connected tools and RAG-backed context.
DATA / SECURITYUVL–02An open-architecture platform designed to ingest terabytes of digital-exhaust data daily from cloud, endpoints, tools, IoT/OT and assessments.
A workflow hub for engagements, scan scheduling, assessment progress, vulnerabilities, reporting, report sharing and billing.
Captures scan and vulnerability activity, orchestrates tools through Argo Workflows, manages artifacts and supports triage and MSP reporting.
DATA PROTECTIONEnterprise backup for Google Workspace and Microsoft 365, protecting mail, files, contacts, calendars and collaboration data on NAS.
WORKFLOW AUTOMATIONA centrally managed cross-platform automation solution connecting cloud services and repetitive business workflows through triggers and actions.
CONNECTED SYSTEMSProduct work spanning private IoT cloud, device gateway and rules-engine concepts, cloud-edge APIs, and connected-device integrations.
FILE SERVICESCollaboration-focused file-service integration connecting QNAP NAS capabilities with Microsoft Teams and cloud ecosystems.
EARLIER CAREERContributed to Technicolor’s Showcase project while leading a five-person team and supporting application delivery and issue resolution.
02 / HOW I THINK
The strongest systems aren't just scalable. They're observable, bounded, recoverable and understandable by the people operating them.
Separate responsibilities, choose the right execution boundaries, and make queueing and orchestration explicit before traffic makes the decision for you.
03 / TECHNICAL RANGE
Explore the technology clusters behind the systems. This is a map of working areas—not an arbitrary proficiency score.
04 CAPABILITY DOMAINSAPI design, service boundaries, data modeling and runtime behavior for systems that must remain maintainable as complexity grows.
04 / THE JOURNEY
A detailed, company-by-company view of the systems shipped, teams supported, technologies used and product domains explored.
Building scalable backend capabilities and an AI-powered security automation platform, bringing security tools, contextual knowledge and controlled execution together in a production-oriented workflow.
Led engineering delivery for products across cloud, storage, IoT and web platforms, combining hands-on development with technical direction and team mentoring.
Provided technical leadership for engineering teams working on high-performance products and customer-focused releases.
Worked on application development and delivery while leading a small engineering team in a client-facing project environment.
Led teams across a portfolio of web and workflow products, supporting implementation and delivery across several customer and business use cases.
Led teams delivering web applications for recruitment, e-learning and healthcare commerce use cases.
Delivered web applications across transport, hotel reservations and business utilities/CRM use cases.
Building with the Claude API · Introduction to Agent Skills · Claude Code in Action · Introduction to Model Context Protocol
Torq
Blockchain Council
Alison
Evolution of Internet · Alison
MongoDB University
05 / START A CONVERSATION
Interested in AI-powered products, distributed backend systems, platform architecture, or engineering leadership? Let’s compare notes.