π Iβm currently working on Computer Engineering Master, AI and Big Data Technologies
π± Iβm currently learning Kubernetes, APISIX, Advanced Docker Networking
π¬ Ask me about Machine Learning, Data Engineering, or Open Source Projects
β‘ Fun fact I manage a science channel with over 16K followers!
Valencia, Spain β’ Feb. 2025 β Jul. 2025
- Microservices Development: Built microservices in Java Spring Boot and Python FastAPI to index corporate data into vector stores, improving response accuracy in RAG architectures, function calling, MCP, and AI agent workflows.
- Semantic Enrichment: Enhanced corporate data through knowledge graph modeling in Neo4j, enabling more informed decision-making and stronger connections between business assets.
- Data Governance & Deployment: Managed environments, data governance, and version control with GitHub, including integration of new features into internal repositories, testing, deployments, and containerization with Docker and Kubernetes.
Valencia, Spain β’ Jan. 2024 β Jul. 2024
- Predictive Modeling: Implemented and trained Machine Learning models for time series, successfully forecasting sales scenarios for consumables and optimizing commercial planning.
- Application Development: Developed a Python application integrating predictive models to facilitate sales projections and improve decision-making.
- Data Analysis: Conducted data engineering and analysis using Python (Pandas, Numpy, Scikit-learn, Statsmodels, PyTorch, Kerasβ¦) and Databricks, enhancing visualizations in Power BI and optimizing SQL database modeling.
- Internal Training: Produced video tutorials to train employees on analytical tools like Power BI and ThoughtSpot, increasing autonomy in the use of these technologies.
- Version Control: Managed data governance and version control with GIT.
- LLM Optimization: Fine-tuned language models (LLM) using H2O Studio, improving their accuracy for specific internal tasks.
Valencia, Spain β’ Sep. 2023 β Dec. 2023
- Automated Classification: Trained neural networks to classify Jira tickets, reducing response times.
- Task Automation: Implemented solutions with Azure AI Services (OCR, Whisper, OpenAI) to automate repetitive tasks.
- Application Development: Developed applications using Microsoft PowerPlatform to optimize internal processes.
- Image Recognition: Led an image recognition project to enhance visual data management.
Valencia, Spain β’ Apr. 2023 β Jul. 2023
- Genomic Data Integration: Unified ClinVar data for research analysis.
- Extraction Automation: Automated genetic information extraction using Apache NiFi and JOLT.
I am a Computer Engineer specializing in Artificial Intelligence and Machine Learning, with over 2 year of experience in the Big Data & AI field. My expertise ranges from data process automation to the integration and deployment of predictive models, enabling tech companies to optimize strategic decision-making.
Polytechnic University of Valencia
- Masterβs in Computer Engineering (In progress)
- Honor Distinction in the Masterβs Thesis?! Weβll see
- Bachelorβs in Computer Engineering β’ Graduated in June 2024
- Honor Distinction in the Bachelorβs Thesis (TFG: Sales scenario prediction for large-format printers)
awards/
βββ 2024/
β βββ Course on Integration of Home/Building Automation Systems π‘
β βββ Training in AI Systems π€
β βββ Basic AWS Course βοΈ
β βββ Data Science and Storytelling Course π
βββ 2023/
β βββ AI+NoCode & UX/UI Training π¨
βββ 2022/
β βββ Tutor Training for 1st-year Students π©βπ«
βββ 2021/
β βββ Finalist at the Internet Awards ππ
βββ 2020/
β βββ Stay with an English Family π«
βββ 2014-2018/
βββ Extraordinary Academic Performance Award (Primary, Secondary, High School) π
π
- Honor Distinction in Bachelorβs Thesis: Recognized for developing a predictive model at HP to forecast consumable sales.
- Innovation in Big Data & AI: Implemented solutions that optimized strategic processes in technological environments.
- Scientific Outreach: Managing a YouTube channel with over 16,000 followers, strengthening communication, leadership, and management skills.
- Automation: Experience in deploying Kubernetes clusters with Ansible, Docker, Docker Swarm.
- Communication & Collaboration: Proven ability to work in multidisciplinary teams and collaborative environments.
- Leadership & Project Management: Experience in leading teams and coordinating technological initiatives.
- Adaptability & Continuous Learning: Committed to innovation and ongoing learning in new technologies.
- Languages: Spanish (native), Valencian (C1), and English (B2).

