Freelancer profile translated to English.
Back to original languageAbout Joaquin
Software Engineer | Java 21 · Distributed Systems · Applied AI
Design and build scalable backend systems integrating AI in real production environments.
Creator of Authority Engine v21.0: pipeline that generates Staff Engineer level technical documentation with local AI and automatically deploys it on AWS (Lambda + S3).
→ 80 documents in production
→ Average score: 99/100
Open Source
→ Contributor to ollama4j — PR #303 merged: expose model_info in ModelDetail
→ Contributor to LangChain4j — PR #185: Spring Boot starter for Chroma
💡 Where I provide value
→ Backend development with Java 21 and Spring Boot 3.x
→ AI integration in existing systems (RAG, agents, LLMs, LangChain4j, Ollama)
→ Scalable architecture design (DDD, Hexagonal, Microservices, SOLID)
→ Cloud automation with AWS Lambda, S3, boto3 and Python
→ Observability: Prometheus, Grafana, OpenTelemetry
→ Real performance: Virtual Threads 7.4× throughput, PostgreSQL 26× speedup
📂 Portfolio
🌐 joaquinriosheredia.github.io/DAM-Java-Mastery
📂 github.com/Joaquinriosheredia/DAM-Java-Mastery
📍 Available immediately · Remote preferred
Spanish
Native or bilingual
English
Fluent
Can work on-site
Sevilla (up to 50km), Málaga (up to 50km), Córdoba (up to 50km), Granada (up to 50km)
Experience
- Authority EngineSoftware Engineer & Data ArchitectSOFTWARE PUBLISHINGJanuary 2013 - Today (13 years and 7 months)Sevilla, SpainAuthority Engine v21.0 — Own Project in ProductionJava 21 · Spring Boot 3.x · Python 3.12 · AWS · LangChain4j · OllamaJanuary 2024 - Present▸ Design and implementation of Authority Engine v21.0 — hybrid Java + Python pipeline for Staff Engineer level technical documentation generation with local AI▸ 80 documents in production · Average score: 99/100▸ AWS cloud architecture: Lambda (Python 3.12) + S3 + boto3 — complete automated cycle: local generation → S3 → GitHub with a single command▸ LLM integration with LangChain4j: RAG, embeddings, agents with memory, Tool Calling, and vector stores (Chroma, pgvector)▸ Optimized local inference: 48 tokens/s with RTX 4060 and Ollama▸ Microservices architecture applying DDD, Hexagonal, and SOLIDJava Production Labs — Real backend engineering benchmarksJava 21 · Spring Boot · Docker · Testcontainers · k6 · JMH · Prometheus · Grafana · Redis · Kafka · PostgreSQL · Kubernetes▸ Virtual Threads (Project Loom): 7.4× real throughput —1057 vs 142 req/s · p99 167ms vs 5817ms · 200 VUs × 30s▸ PostgreSQL Tuning: partial index on 1M rows —26× speedup · 120× I/O reduction (102 vs 12,268 buffer hits)▸ 10 executable labs: Circuit Breaker, Transactional Outbox,Saga Pattern, Redis vs Kafka, Kafka Streams, DockerOptimization, Kubernetes HPA with custom Prometheus metrics▸ Standard per lab: ADR · Testcontainers · k6/JMH ·chaos scripts · green CI/CD · Prometheus + GrafanaOpen Source▸ ollama4j PR #303 merged — expose model_info in ModelDetail(Java, Jackson, unit tests)▸ LangChain4j PR #185 open — Spring Boot starter forChroma vector store
- PretensadosAlmenarasS.L.Operations and Critical Systems ManagerJanuary 2020 - January 2023 (3 years)▸ Real-time operational failure resolution ensuring zero-downtime in critical supply chain▸ Business process optimization applying computational thinking to eliminate bottlenecks▸ Incident management under extreme pressure with structured response protocols
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Education
- Higher Technician in Multiplatform Application Development (DAM)Official Vocational Training Center2026Técnico Superior en Desarrollo de Aplicaciones Multiplataforma (DAM)
- AI, Big Data, and Digital Tools Program (150h)of2025Programa IA, Big Data y Herramientas Digitales (150h)