$> resolving page · hydrating components · streaming data
$> resolving page · hydrating components · streaming data
Founder-Engineer at The MASS Lab · 3,000+ commits across 20+ active repos in 10 months
pub fn create_identity(
bearer: &Bearer, // tenant-scoped caller
request: &CreateIdentityRequest,
) -> Result<Identity> {
let tenant_id = bearer.tenant_id.to_string(); // pinned from bearer, not body
let identity = Identity {
id: Uuid::new_v4(),
tenant_id, // honors supplied tenant
kind: request.kind.clone(),
created_at: Utc::now(),
};
state.insert(identity.clone())?;
audit::record(bearer, &identity)?;
Ok(identity)
}
A few highlights from the portfolio.
Multi-tenant AI voice receptionist SaaS. Three Next.js apps, SST v3 on AWS, DynamoDB, Cognito, Telnyx voice, Stripe billing, WebRTC browser calling, and an autonomous agent runtime with human-in-the-loop approvals.
1,100+ commits
Real-time fantasy sports platform with web + kiosk experiences, merchandise rewards, responsible gambling handlers, Stripe payments, and admin dashboards.
1,400+ commits
End-to-end quoting and booking platform for global yacht shipping. Role-based dashboards, booking workflows, and Postgres-backed pricing logic. Started with a voice AI MVP demo that landed the full contract.
Identity, permissioning, and audit fabric for AI agents - Rust core with desktop and hosted deployment targets, federated tenant onboarding, and a per-tenant cloud surface.
159+ commits across the ecosystem
Notes on building, shipping, and the AI-native workflow.
Why I just spent an hour hardening my own AWS Identity Center - and the one setting that quietly undid the policy.
A method for getting a distinctive UI shipped fast: generate the hero frame first, then hand it to an AI agent and rebuild it as code.
Notes on running a one-engineer practice with the discipline of a shop floor - and the lighting of a Severance terminal.

I'm Mali Franzese - Founder-Engineer at The MASS Lab, based in Central Texas. I ship full-stack production platforms at a pace most teams can't match, using AI-native development workflows I've been refining for years.
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