AI products · full-stack systems · evidence

I turn ambiguous
AI and data problems
into working products.

AI Product Builder · Full-Stack Developer

Download résumé

Product / AI PM lens

I translate ambiguous user and business needs into scoped, testable products—then stay close enough to the implementation to make sure they work.

M.S.: Computer Science & Engineering
3.9: Graduate GPA
20+: Cloud analytics experiences

Selected evidence

What I built, why it mattered, and how I know it worked.

Shipped · NICE Actimize · Product implementation

Multi-tenant visual analytics

Turned ambiguous AML and fraud dashboard requirements into 20+ working AWS QuickSight analyses, then validated embedded access and tenant isolation.

Product evidence

Translated designs into datasets, metrics, filters, and acceptance checks
Coordinated dependencies across product, data, security, and engineering
Built an auditor-centered demo and implementation handoff

Outcome20+ analytics experiences delivered and validated

AWS QuickSightRLSUATMulti-tenancy

Read the full case study

Shipped · SuperGrowth · Full-stack product delivery

Responsive company & product website

Built and launched a responsive React and TypeScript website, connecting product discovery to a working inquiry flow and carrying it through production delivery.

Product evidence

Turned user and stakeholder feedback into focused product iterations
Owned the website flow from initial scope through launch and production follow-up
Balanced responsive behavior, reusable patterns, and release priorities

OutcomeA production company website with a sheet-backed inquiry pipeline

ReactTypeScriptVercelProduction QA

Read the full case study

Experience index

Product judgment with implementation depth.

2026NICE Actimize

Technical product & analytics implementation

2026SuperGrowth

Full-stack product delivery

2024–25UC Santa Cruz

C/C++ teaching assistant

Next question

What problem should we turn into working evidence?

mqi6@ucsc.edu ↗LinkedIn ↗GitHub ↗