Lima, PE
Architecting autonomous systems that close revenue gaps. Bridging the gap between non-deterministic models and production-grade stability.
- Network Asymmetry: Every external dependency is a potential failure point. Resilience is structural.
- Server-Centric State: The browser is a rendering surface. Critical state lives on the server.
- Deterministic AI: LLMs are non-deterministic; the architecture around them must be the opposite.
High-level capabilities and architectural focus:
| Domain | Focus Area |
|---|---|
| Backend | TypeScript, Node.js, Next.js 15 (App Router), Python |
| Data & Infra | Postgres, MongoDB, Drizzle ORM, Upstash (Redis/QStash) |
| AI Systems | Vercel AI SDK, DeepSeek V4, Llama 4, FSM Orchestration |
| Resilience | Circuit Breaking, Exponential Backoff, Idempotency |
Architecture decisions and production essays:
- Network Asymmetry: Resilience in Distributed Systems
- Deterministic AI: Validating LLM Output in Production
- Server-Centric State: Authentication Patterns for Next.js
- resilient-fetcher: TypeScript utility for Next.js wrapping native fetch with exponential backoff and circuit breaking. (v1.0.0 Live)
- ssr-auth-pipeline: Zero-client-side OAuth2 token lifecycle manager. (In Development)
- Soff.IA Core: Autonomous agent logic powered by reactive state machines and Zod-enforced tool calling.
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"The browser renders. The server authenticates. The architecture dictates."