Founder & AI-Native Systems Architect
Intellisar
Present
Founded and engineered Intellisar, a 350,000+ LOC multi-tenant SaaS platform spanning CRM, payments, scheduling, communications, AI orchestration, data migration, automation, and field-service operations. Designed the system architecture across TypeScript, JavaScript, React, Next.js, SQL/PostgreSQL, Supabase, REST/JSON APIs, event-driven workflows, asynchronous processing, and distributed third-party integrations.
- Architected multi-tenant PostgreSQL domain models, Row-Level Security, RBAC, authentication boundaries, transactional workflows, state machines, and workspace-level data isolation
- Engineered production APIs and webhook systems with idempotency, event deduplication, concurrency protection, retry semantics, processing leases, transactional rollback, and failure recovery
- Built Stripe payment flows, SMS/MMS infrastructure, real-time synchronization, AI tool execution, voice systems, dispatch/routing architecture, and provider-neutral integration layers
- Developed high-volume migration tooling using streaming CSV parsing, staging pipelines, SHA-256 integrity validation, schema inspection, deduplication, sensitive-field detection, and transactional imports
- Debugged systems across the full stack using TypeScript/JavaScript, SQL, API traces, database migrations, provider payloads, build output, CI failures, authentication state, and production runtime diagnostics
- Reduced TypeScript diagnostics from 1,188 → 0 during production hardening without using compiler suppression as the solution
- Established automated quality gates covering unit, integration, regression, E2E, authorization, tenant-isolation, race-condition, webhook, migration, payment-state, negative-path, and failure-recovery testing
- Achieved documented checkpoints of 861/861 full-suite tests passing, 347/347 advanced-importer tests passing, and 41/41 Playwright E2E tests passing at an exact-SHA CI release checkpoint, alongside passing security-policy and release gates
- Built destructive-test safeguards using isolated databases, environment verification, explicit mutation acknowledgements, rollback controls, and fail-closed execution when test boundaries could not be proven
- Managed production engineering through Git/GitHub, exact-SHA CI validation, Vercel deployments, Supabase/PostgreSQL migrations, Neon isolation environments, Google Cloud infrastructure, and release gates
Engineering Stack
- TypeScript
- JavaScript
- SQL
- PostgreSQL
- HTML/CSS
- React
- Next.js
- Supabase
- REST APIs
- Vitest
- Playwright
- Stripe
- OpenAI
- LiveKit
- Telnyx
- Google Cloud
- Git/GitHub
- Vercel






















