Profile picture

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.
My approach is pragmatic and grounded in systems engineering, ensuring emerging AI patterns are deployed with the same operational rigor as any other critical system.
View Resume

Current Stack

Technologies I'm actively working with

TypeScript
TypeScript
React
React
Node.js
Node.js
Python
Python
GCP
GCP
Docker
Docker
NextJS
NextJS
GraphQL
GraphQL
Django
Django
Kubernetes
Kubernetes
Golang
Golang
PostgreSQL
PostgreSQL
Systems Design
Systems Design

Technologies I've worked with

Firebase
Firebase
GitHub
GitHub
Testing
Testing
RxJS
RxJS
Design Patterns
Design Patterns
Domain Driven Design (DDD)
Domain Driven Design (DDD)
Terraform
Terraform
AWS
AWS
Gitlab
Gitlab
MongoDB
MongoDB
React Native
React Native
Heroku
Heroku
Laravel
Laravel
JavaScript
JavaScript
VueJS
VueJS
PHP
PHP
Android (Java)
Android (Java)
Android (Kotlin)
Android (Kotlin)
IOS (Swift)
IOS (Swift)
MySQL
MySQL
MariaDB
MariaDB
SQL Server
SQL Server
Bash
Bash
Redis
Redis
Ruby on Rails
Ruby on Rails

Projects

Selected projects focused on applied AI systems and resilient, cloud-native platform architectures.

  • Deal Intelligence Platform logo

    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.
    PythonLangChainLLMsGraphRAGWhisper + VisionLangGraphVector SearchLangSmith Evals
    View Project
  • Distributed Orders Platform logo

    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.
    Microservices (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)
    View Project
  • Urban Logistics Engine logo

    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.
    Spatial Indexing (QuadTrees)Advanced Graph Algorithms (A*, Dijkstra)Backtracking (VRP Solver)
    View Project
  • ConectaPelu2 — Animal Welfare Ecosystem logo

    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.
    Next.js 15Drizzle ORMPostgreSQLDockerKubernetesGitHub Actions
    View Project

Professional Experience

A journey through my professional career, showcasing key roles and achievements.

ZenBusiness logo

ZenBusiness

Staff Software Engineer

Sep 2023 - Present
2 years 8 months

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

  1. Led the zero-downtime migration of a frontend product from the legacy monolith to the new microfrontends architecture, executed incrementally without disrupting users.
  2. Designed core fulfillment workflows in Go, with schema-driven validation and graph-based traversal to guarantee data integrity across the order lifecycle.
  3. Led an event-driven backend integrating external accountant partners, unblocking the launch of the company's tax-related product line.
  4. Designed and built multiple third-party integrations with partner-specific rate limiting, timeouts, structured error handling, and secrets management.
  5. Co-created and maintain shared core packages and architectural patterns adopted across multiple teams, driving consistency in how services are built.
  6. Supported enterprise API initiatives by designing secure, public-facing endpoints that exposed internal capabilities while enforcing business constraints.

Tech Stack

ReactNode.jsTypeScriptGCPDockerKubernetesGraphQLPostgreSQLPythonGolangDjangoFirebaseTerraform
Ureeka logo

Ureeka

Senior Software Engineer

Sep 2021 - Sep 2023
1 year 11 months

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

  1. Designed scalable backend features using distributed system patterns (eventual consistency, backward-compatible schema evolution) so the platform could evolve without breaking existing consumers.
  2. 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).
  3. Implemented end-to-end observability with Cloud Trace, Cloud Logging, and Error Reporting, shortening incident detection through automated alerting.

Tech Stack

TypeScriptReactNode.jsFirebaseGCPDockerRxJS
Sintec logo

Sintec

Tech Lead / Digital Solutions Manager

Feb 2020 - Sep 2021
1 year 7 months
Sintec logo

Sintec

Full-stack Engineer / Consultant

Feb 2019 - Feb 2020
1 year
Garage logo

Garage

Full-stack Engineer (Contract)

Jul 2019 - Dec 2019
5 months
SENSAI logo

SENSAI

Full-stack Engineer

Aug 2018 - Feb 2019
6 months
HMS logo

HMS

Tech Lead

Oct 2016 - Jul 2018
1 year 9 months
HMS logo

HMS

Full-stack Engineer

Jan 2015 - Oct 2016
1 year 9 months
Ingeniat logo

Ingeniat

Full-stack Engineer

Jun 2014 - Jan 2015
7 months