Connected agent reasoning and analysis surfaces to execution workflows.
Lumiwealth / BotSpot
An agent is only useful when its reasoning, execution, and product experience form one reliable path.
Role
I work across agent systems, isolated Python analysis, AWS execution, React web, Expo mobile, and product analytics. This case study describes scope without exposing private architecture or metrics.
Constraint
Infrastructure, broker state, model behavior, client state, and payment or experiment attribution all cross service boundaries. Local success cannot stand in for integrated proof.
Selected work
Worked across AWS runtime paths and user-facing React and Expo product flows.
Instrumented PostHog experiments across homepage, pricing, signup, and checkout surfaces.
Separated local, staging, and production evidence so product claims match live state.
Evidence
Scope spans infrastructure, web, and native mobile consumers.
Experiments preserve control behavior, assignment, exposure, and outcome attribution.
Release claims distinguish committed, deployed, and production-verified state.
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