Hello, I'm Jose Chirinos

AI & Mobile Engineer

Applied AI & Multi-Agent Systems | Flutter & Native Mobile | Full-Stack Architecture

Building intelligent, agentic products end-to-end

View My Work
10+ Years Experience
4+ Fortune 500 Companies
14+ Apps Delivered

About Me

I'm a full-stack software engineer and architect with 10+ years shipping production mobile and cloud systems — now focused on applied, agentic AI.

I specialize in mobile — Flutter (iOS/Android/web/desktop) and native iOS (Swift, SwiftUI, UIKit) — and build full-stack around it: Node.js services, cloud architecture on AWS and Azure, and real-time IoT. Today my biggest focus is AI: multi-agent orchestration, MCP integrations, and RAG pipelines that turn frontier models into reliable production software.

I've delivered 14+ apps for 4+ Fortune 500 companies (Pinterest, Netflix, Intel, United Airlines) at a scale of 400M+ users. As a technical leader I own architecture end to end, mentor teams, and set the standards — most recently migrating a core product to an AI-driven, multi-agent architecture.

Jose Chirinos

AI Engineering

Designing agentic systems and shipping AI into production — from multi-agent orchestration to cost-optimized inference.

Special Mention

Jarvis

Personal Autonomous AI Assistant

A self-built agentic platform for prototyping multi-agent orchestration, RAG, RLM, and context engineering across local & cloud LLMs — with MCP tool-calling against frontier models like Claude and Gemini.

Multi-Agent Orchestration RAG RLM Context Engineering Local + Cloud LLMs MCP Tool-Calling Claude & Gemini

Core AI Capabilities

Multi-Agent Orchestration

Coordinating specialized agents with planning, delegation, and shared context.

Model Context Protocol (MCP)

Building MCP servers & tool integrations that give models real-world reach.

RAG & Vector Search

Retrieval pipelines and semantic search backed by QDrant.

Context & Prompt Engineering

Structured prompting and context windows tuned for accuracy and reliability.

AI Guardrails & Cost Optimization

Deterministic guardrails plus inference tuning for reliable, efficient models.

~30% inference cost cut @ Tech9

LLM Evaluation & Observability

Eval harnesses, tracing, and metrics that keep model behavior measurable.

Agentic CI/CD & Model Deployment

Automated pipelines for shipping and promoting models to production.

Platforms & Tooling

Anthropic Claude API Claude Agent SDK Google Gemini Azure AI Claude Code Cursor Kilo Code MCP

Certifications

Azure AI Fundamentals (AI-900) Azure Fundamentals (AZ-900)

Technical Expertise

Agentic AI & LLMs

Multi-Agent Orchestration MCP RAG RLM Prompt & Context Engineering AI Guardrails Cost Optimization

AI Platforms & Tooling

Claude API Claude Agent SDK Gemini Azure AI Claude Code Cursor Kilo Code

Mobile Development

Flutter (Mobile/Web/Desktop) iOS/Swift Android Cross-Platform

Cloud & Backend

AWS Azure Microservices Node.js

Architecture & Patterns

CLEAN Architecture BLoC Riverpod CI/CD Git

Languages

Dart Swift TypeScript JavaScript Python

DevOps & Infrastructure

Docker Kubernetes Firebase MongoDB

Companies I've Built For

Delivering production software for Fortune 500 teams and high-growth products.

Netflix Intel Pinterest United Airlines Tech9 Young Living

Complete Apps Portfolio

All applications I've developed and contributed to throughout my career

Let's Connect

I'm always interested in discussing new opportunities and challenging projects.

chepedeveloper@gmail.com LinkedIn GitHub