Manu506
RESUME
Tech Profile

Senior Full Stack Engineer | AI Engineer | Forward Deployed Engineer

Moving with the market.

Senior Full Stack Engineer and Mobile Engineer with 16+ years building and modernizing enterprise systems across e-commerce, healthcare, insurance, fleet safety, and satellite geolocation. Deep expertise in Java/Spring Boot microservices, event-driven architectures (Kafka, RabbitMQ, Redis), and modern web and mobile frontends (React, Angular, Vue.js, React Native) on AWS. Currently embedded with a U.S. enterprise e-commerce client as order-lifecycle domain owner, resolving live production incidents across an ATG–SAP ecosystem. Practices AI-assisted, spec-driven engineering with Claude, Copilot, and agentic workflows — delivering faster without compromising quality.

MANUEL HERRERA MESÉN

MANUEL HERRERA MESÉN

Selected work

three platforms, in production
2021 · Capability Lead / Full Stack EngineerScalable Microservices for IntelliCentrics' HealthTech Platform

Led the design and development of Java EE 8 / Spring Boot microservices for IntelliCentrics' healthcare vendor credentialing platform.

Java EE 8Spring BootReact.jsAngular 8
2019 · Senior Software Engineer / Tech Lead / ManagerRisk and Policy Management Platform for Kinsale Insurance

Technical leadership of scalable Java EE 8/Spring Boot backend and Angular frontend for Kinsale Insurance's risk and policy management platforms, as part of a Gorilla Logic team.

Java EE 8Spring BootKotlinAngular 7
2025 · Senior Full-Stack Engineer – AI Engineer / Forward Deployed EngineerOrder Lifecycle on Lakeshore Learning's E-Commerce Platform

Order lifecycle domain owner on Lakeshore Learning's B2B/B2C e-commerce platform, integrating Oracle ATG Commerce and SAP across 1,000+ orders a day.

Java 8/21Spring BootOracle ATG CommerceSAP

Career journey

16+ years

Senior Full Stack Engineer and Mobile Engineer with 16+ years building and modernizing enterprise systems across e-commerce, healthcare, insurance, fleet safety, and satellite geolocation. Deep expertise in Java/Spring Boot microservices, event-driven architectures (Kafka, RabbitMQ, Redis), and modern web and mobile frontends (React, Angular, Vue.js, React Native) on AWS. Currently embedded with a U.S. enterprise e-commerce client as order-lifecycle domain owner, resolving live production incidents across an ATG–SAP ecosystem. Practices AI-assisted, spec-driven engineering with Claude, Copilot, and agentic workflows — delivering faster without compromising quality.

Oct 2025 – Present
Senior Full-Stack Engineer – AI Engineer / Forward Deployed EngineerRemote Contractor — Confidential Enterprise E-Commerce Client (USA)
Sep 2022 – Oct 2025
Senior Java Full Stack Developer – AI EngineerRemote Contractor — Confidential Driver Risk & Fleet Safety SaaS Client (USA)
Sep 2021 – Sep 2022
Capability Lead / Full Stack EngineerHealthTech Client (USA, Remote)
View full resume

Stack

what I reach for first

Engineering fingerprint

how a request travels

The same shape shows up in most systems I have owned: a thin edge, a domain service that holds the rules, events instead of chatter between services, and a data layer nobody queries directly.

01EdgeWeb · mobile · partner APIs
02GatewayAuth, routing, rate limits
03Domain serviceSpring Boot · business rules
04EventsKafka · RabbitMQ · idempotent
05Systems of recordSAP · ATG · Redis · OpenSearch
16 years

Backend

Microservices that survive real traffic, and the event plumbing between them.

Java 21Spring BootKafkaRabbitMQRedis
9 years

Frontend

Enterprise frontends at scale, including the ones nobody wants to touch.

ReactTypeScriptAngularRxJS
6 years

Mobile

Shipped to stores, not just to staging.

React NativeSwift/iOSKotlin
8 years

Platform

Pipelines, containers and clusters that other people can operate.

AWSKubernetesDockerCI/CD
AI Lab

AI-assisted, spec-driven engineering — in production, not in demos.

How I actually work with AI day to day: specs first, agents doing the mechanical passes, and a human reviewing every diff that reaches a client's repository.

ClaudeClaude CodeCopilotMCPRAGAI AgentsLLM
PracticeSpec first, then codeThe specification is the artifact. Agents implement against it, and the diff is reviewed like any other pull request.
PracticeAgentic workflows on real repositoriesScoped, reviewable tasks inside existing enterprise codebases — migrations, test coverage, incident triage.
PracticeRetrieval where documentation is the bottleneckRAG over the material a team already has, so answers cite something real instead of improvising.

How I work

remote, from Costa Rica

Remote, based in Costa Rica, with the same care I'd put into my own product — coffee in hand, focus intact. You don't need an office to take code quality seriously.

Embedded with the client's team, in their repository, on their release cadence.
Overlapping hours with U.S. time zones, and written updates that outlive the call.
Every diff reviewed by a person before it reaches a client's main branch.
Illustration: working at a wooden desk by an open window over the Costa Rican coast, laptop open, coffee mug on the table.
The office, more or less.

Writing

engineering, applied AI, and where work is heading
August 20, 2026The Wrong Question About the Tech Market

The tech market isn't stabilizing, it's splitting in two. Why the right question isn't when it gets better, but where you're moving.

#job-market#artificial-intelligence#tech-career#forward-deployed-engineer
Read it
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