
Hi, I'm Jorge 👋
Staff Software Engineer | Distributed Systems & Applied AI
I design and integrate resilient, large-scale platforms across distributed systems and AI-integrated architectures. My work focuses on building systems that scale predictably, remain observable under load, and evolve without breaking existing consumers.
- Zero-downtime migrations: Led incremental transitions from legacy monoliths to microfrontends and event-driven services.
- Performance optimization: Diagnosed the root cause of a throughput ceiling in distributed task queues; a surgical configuration change, validated via benchmarks, delivered 8× throughput (940 → 7,500 tasks/min).
- Applied AI: Building RAG patterns and multi-agent systems with the same engineering discipline as production services (orchestration, evaluation, observability).
- Technical leadership: Driving cross-team standards, design reviews, and mentorship across backend and frontend guilds.
Current Stack
Technologies I'm actively working with
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Technologies I've worked with
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Projects
Selected projects focused on applied AI systems and resilient, cloud-native platform architectures.

Deal Intelligence Platform
AI Reasoning & Strategic Intelligence
Multimodal RAG over sales calls (Whisper) and financial documents (vision). 5 specialized agents orchestrated with LangGraph; hybrid retrieval (BM25 + embeddings); evaluation with LangSmith.View ProjectPythonLangChainLLMsGraphRAGWhisper + VisionLangGraphVector SearchLangSmith Evals
Distributed Orders Platform
Distributed Architecture
Personal project demonstrating production-grade microservices patterns: synchronous gRPC on critical paths, async events for eventual consistency, and resilience primitives (Circuit Breakers, Distributed Locking with Redis Redlock, DLQ) deployed via GitOps on GKE.View ProjectMicroservices (Polyglot: Go, TS, Python)High-Performance gRPC (Protobuf)Event-Driven Architecture (Google Pub/Sub)Infrastructure as Code (Pulumi, GKE)Distributed Locking (Redis Redlock)Resilience Patterns (Circuit Breakers, DLQ)GitOps (ArgoCD)
Urban Logistics Engine
Advanced Algorithms
Personal project — high-performance logistics core for solving the Vehicle Routing Problem (VRP) at city scale. Optimized for 50+ vehicle fleets using custom spatial indexing (QuadTrees) and hybrid pathfinding algorithms to minimize delivery costs and latency.View ProjectSpatial Indexing (QuadTrees)Advanced Graph Algorithms (A*, Dijkstra)Backtracking (VRP Solver)
ConectaPelu2 — Animal Welfare Ecosystem
Full-Stack Product Architecture
Digital ecosystem connecting animal shelters and adopters. Monolithic Next.js app on PostgreSQL/Drizzle with pet management, secure auth, and audit trail; containerized and deployed via GitHub Actions to Kubernetes.View ProjectNext.js 15Drizzle ORMPostgreSQLDockerKubernetesGitHub Actions
Professional Experience
A journey through my professional career, showcasing key roles and achievements.
Overview
Design and implement the company’s core distributed systems across multiple microservices. Contribute to architectural decisions, adopt event-driven and microfrontend patterns, define cross-team standards, and own third-party integrations with a focus on reliability and consistency.Key Achievements
- Led the zero-downtime migration of a frontend product from the legacy monolith to the new microfrontends architecture, executed incrementally without disrupting users.
- Designed core fulfillment workflows in Go, with schema-driven validation and graph-based traversal to guarantee data integrity across the order lifecycle.
- Led an event-driven backend integrating external accountant partners, unblocking the launch of the company's tax-related product line.
- Designed and built multiple third-party integrations with partner-specific rate limiting, timeouts, structured error handling, and secrets management.
- Co-created and maintain shared core packages and architectural patterns adopted across multiple teams, driving consistency in how services are built.
- Supported enterprise API initiatives by designing secure, public-facing endpoints that exposed internal capabilities while enforcing business constraints.
Tech Stack
ReactNode.jsTypeScriptGCPDockerKubernetesGraphQLPostgreSQLPythonGolangDjangoFirebaseTerraform
Overview
Designed and scaled backend systems supporting the core Ureeka platform, with a focus on distributed execution, performance optimization, and operational reliability in a cloud-native, serverless environment.Key Achievements
- Designed scalable backend features using distributed system patterns (eventual consistency, backward-compatible schema evolution) so the platform could evolve without breaking existing consumers.
- Diagnosed the root cause of a throughput ceiling in distributed task queues; a surgical configuration change, validated via benchmarks, delivered an 8× throughput improvement (~940 → ~7,500 tasks/min per queue).
- Implemented end-to-end observability with Cloud Trace, Cloud Logging, and Error Reporting, shortening incident detection through automated alerting.
Tech Stack
TypeScriptReactNode.jsFirebaseGCPDockerRxJS





