
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
Technologies I've worked with
Projects
Selected projects focused on applied AI systems and resilient, cloud-native platform architectures.
DIPDeal 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
DOPDistributed 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)
ULEUrban 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)
C—AWEConectaPelu2 — 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





