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Javier Real Valdés

@javierrealvalds

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Senior GenAI Engineer building context-aware, RAG-powered AI systems for enterprise applications and automation.

Spain

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What I'm looking for

I’m looking to build and deploy cutting-edge GenAI and ML systems end-to-end—especially RAG, MLOps, and cloud workflows—within a team that values innovation, strong engineering practices, and rapid learning from real-world deployments.

I’m a Senior GenAI Engineer focused on building intelligent, context-aware chatbot experiences and end-to-end GenAI capabilities. At Plexus, I developed advanced features for a banking sector chatbot using DSPy, LangGraph, and MCP tools, and I implemented Retrieval-Augmented Generation (RAG) and integrated the chatbot with real-world HR operations through secure backend services.

Previously, at Accenture, I engineered AI-powered solutions for enterprise applications by developing deep learning models and deploying scalable systems in cloud environments. I built cloud-based AI workflows on AWS (SageMaker, Lambda, Feature Store), and I integrated MLOps pipelines for efficient training and monitoring; earlier, at Vodafone and eSave, I shipped backend microservices in Java/Spring Boot and supported an OCR backend project.

I’m also driven by research and practical execution: I’ve worked on NLP and Transformer research, exploring LLMs and RAG for requisite analysis, and I continue to apply machine learning across areas from natural language processing to automation and robotics. I’m always eager to tackle new challenges and push the boundaries of technology.

Experience

Work history, roles, and key accomplishments

Current

Senior GenAI Engineer

Current

Plexus

Jul 2025 - Present (10 months)

Developed advanced banking chatbot features using DSPy and LangGraph with MCP tools for intelligent, context-aware interactions. Implemented RAG and integrated the chatbot with HR operations via secure backend services.

DSPy LangGraph Retrieval Augmented Generation (RAG)Backend Services

GenAI Data Science MLOps Engineer

Accenture

Apr 2024 - Jul 2025 (1 year 3 months)

Developed AI-powered solutions for enterprise applications using TensorFlow/Keras for deep learning and XGBoost and scikit-learn for predictive modeling. Built AWS-based AI workflows (SageMaker, Lambda, Feature Store) and implemented MLOps pipelines for training and monitoring.

TensorFlow Keras XGBoost scikit learn AWS Sagemaker AWS Lambda MLOps Model Monitoring

Backend Software Developer

Vodafone

Jun 2022 - Jan 2024 (1 year 7 months)

Designed and deployed Java/Spring Boot microservices for an eCommerce platform. Owned backend development across SQL database design, data retrieval, and REST API implementation.

Java Spring Boot Microservices SQL Database Design REST APIs Backend Development

Education

Degrees, certifications, and relevant coursework

Coursera (IBM)

Generative AI Engineering with LLMs, Generative AI (LLMs)

2021 -

Studied Generative AI Engineering with LLMs via IBM on Coursera, with status noted as in progress (2025).

Capgemini Engineering

Researcher, Natural Language Processing (NLP) & Transformers

2022 - 2022

Activities and societies: Explored LLMs and RAG for requisite analysis; contributed to text generation pipelines.

Researched NLP models and Transformer architectures and explored LLM applications, including retrieval-augmented generation (RAG) for text generation pipelines and requisite analysis.

Universidad Politécnica de Madrid

Master’s Degree in Industrial Engineering, Industrial Engineering

2018 - 2021

Completed a Master’s Degree in Industrial Engineering at Universidad Politécnica de Madrid.

Universidad Politécnica de Madrid

Bachelor’s Degree in Industrial Technologies, Industrial Technologies

2014 - 2018

Completed a Bachelor’s Degree in Industrial Technologies at Universidad Politécnica de Madrid.

Google Cloud

Professional Data Engineer (Google Cloud), Data Engineering

Earned the Google Cloud Certified Professional Data Engineer credential.

Universidad Politécnica de Madrid

Research Projects, Artificial Intelligence (Robotics)

2017 - 2020

Activities and societies: Serpuga (2019–2020): AI applied to robotics in industrial environments. Swarm City (2017–2018): reinforcement learning and swarm systems for robotics. Co-author of an MDPI (Q2) robotics article.

Worked on AI research projects focused on robotics and reinforcement learning, including Serpuga and Swarm City projects.