Product-minded full-stack engineer
I build real softwarefor workflows, admin surfaces, and products with real users.
I lead and ship across multi-tenant LMS systems, security dashboards, and AI-powered products. My best work lives where product decisions, edge cases, and production reality all meet.
Current focus
Portfolio systems, AI product UX, and workflow-heavy software.
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Current focus
Portfolio systems, AI product UX, and workflow-heavy software.
Contact
Workflow-heavy systems. Real users. Clean execution.
Selected work
The proof is in the systems.
Most of my best work lives in products with real users, real workflows, and enough moving parts that product and engineering decisions both matter.
AI-powered learning operations platform
IgniteIQ
I lead the product engineering across the public site, company-admin portal, learner experience, and super-admin surface. What mattered to me was not just delivering courses. It was building something an organization could actually run on when onboarding, compliance, awareness training, and certification all start happening at once.
Live rollout currently includes 6 active companies, with customer environments across healthcare, transportation, utilities, and IT services.
Financial intelligence for cybersecurity
ImpactIQ
This product interested me because the real problem was never just detection. Security teams already have scanners. What most companies still do not have is a system that explains what those findings mean in dollars, urgency, and business consequence. I focused on the product surfaces that make that translation clear instead of overwhelming.
The platform combines universal report ingestion, active-threat correlation, breach-cost modeling, ROI prioritization, insurance-gap visibility, and executive-ready reporting.
Trust-first emotional AI system
MoyoSphere
This one is personal. I wanted to build an AI product that feels emotionally useful without becoming fake, creepy, or sloppy. So the work goes much deeper than chat UI. Memory rules, diary systems, voice flows, privacy controls, and behavior quality all have to work together before the product deserves trust.
Web, mobile, and Python services all point at the same product direction: make Moyo feel like one coherent presence users can trust over time.
6
active company rollouts on IgniteIQ
Tracked
by department
Earned
not auto-issued
228
quiz questions in one generated run
About
I like products that get messy after launch.
I am not most useful on toy projects. My best work happens when a product already has users, edge cases, and enough workflow complexity that clean execution actually matters. That is why I naturally drift toward admin-heavy systems, permissions, billing, analytics, onboarding, and AI features that have to fit real product behavior.
I care about what happens after launch too. I like finding rough edges, cleaning them up, and making the product feel more solid over time instead of treating shipping as the end of the work.
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