YBAbout Yadier
I specialize in architecting high-scale backend ecosystems and integrating cutting-edge Generative AI into production-grade environments. With extensive experience as a Lead Developer and a technical contributor to Baeldung, I combine the robustness of Java (Spring Boot) with the autonomy of advanced AI.
I focus on delivering end-to-end engineering solutions, including:
Scalable Backend Architectures: Designing resilient microservices and distributed systems on Google Cloud Platform (GCP) with a focus on performance and security.
Autonomous Multi-Agent Systems (MAS): Building intelligent workflows and RAG architectures that move beyond simple chatbots to automate complex business logic.
Model Optimization & Fine-tuning: Tailoring LLMs to specific domains to improve context comprehension and reduce hallucinations in enterprise applications.
System Integration: Bridging legacy infrastructures with modern AI capabilities, including "Computer Use" models and secure API ecosystems.
My goal is to build software that is not only intelligent but also scalable, maintainable, and aligned with enterprise standards.
Spanish
Native or bilingual
English
Conversational
Remote only
Primarily works remotely
Experience
- Innoway StreetLead Software Engineer (Generative AI & Backend)TECHJanuary 2025 - Today (1 year and 5 months)SpainPromoted to lead a high-performance team of 5 developers, orchestrating the delivery of enterprise-grade Generative AI solutions and scalable backend architectures.Architected and deployed Autonomous Agent systems using ADK and MAS principles, automating 40% of complex manual workflows and reducing operational latency by 25%.Executed LLM Fine-tuning strategies on gemini models, achieving a 30% improvement in context comprehension and domain-specific accuracy compared to base models with RAG.Integrated "Computer Use" model capabilities to enable agents to interact with legacy GUI-based systems.Optimized RAG (Retrieval-Augmented Generation) pipelines and vector database indexing, resulting in a 95% reduction in model hallucinations for documentation retrieval.
- Innoway StreetBackend & AI EngineerTECHMay 2024 - December 2024 (7 months)SpainPioneered the integration of Generative AI and Conversational AI, developing advanced chatbots using Dialogflow, Gemini, and OpenAI models, which improved customer engagement by 35%.Engineered RAG (Retrieval-Augmented Generation) architectures to connect LLMs with internal Oracle DB knowledge bases, delivering highly accurate, context-aware responses in real-time.Developed and scaled mission-critical microservices using Spring Boot and Java, ensuring seamless communication between AI components and the core enterprise ecosystem.Implemented robust security protocols using Auth0 for identity management and integrated third-party APIs via Postman for rigorous testing and validation.Owned the full Software Development Life Cycle (SDLC), translating complex business requirements into resilient distributed systems hosted on Google Cloud Platform (GCP) and Oracle Cloud.Optimized database performance, managing complex schemas in Oracle DB to support high-concurrency AI-driven requests without degrading system latency.
- BaeldungTechnical WriterApril 2024 - Today (2 years and 2 months)Collaborate with elite editors to research and produce high-quality technical articles, focusing on advanced Java ecosystem patterns and Spring Boot best practices.
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Education
- Bachelor's degree in Computer ScienceCentral University "Marta Abreu" of2024Bachelor's degree in Computer Science
- Oracle Next Education2023Oracle Next Education