SpectralApp
A modular, code-free platform for functional spectral data analysis and modeling.
Next.jsTypeScriptPlotlyPythonScikit-FDA
Data Science & AI Engineer
Hi, I’m Lucas.
Data Science & Artificial Intelligence Engineer based in Madrid, Spain. I design and build production-ready machine learning systems, turning data into reliable tools for researchers, clinicians and industry teams.
I'm especially interested in applied AI, robust ML pipelines and data products that deliver measurable impact beyond academic prototypes.
Location
Madrid, Spain
Current Focus
Applied AI & Machine Learning Systems
Open To
Master’s Programs & AI Engineering Roles
About
I am a Data Science and Artificial Intelligence Engineer based in Madrid, focused on building reliable machine learning systems and data-driven applications.
I completed my BSc in Data Science and Engineering at Universidad Carlos III de Madrid, where I developed SpectralApp — a functional data analysis platform created in collaboration with the university's Spectroscopy Department.
During my Erasmus year at KU Leuven, consistently ranked among the top universities in Europe and worldwide, I pursued advanced coursework in artificial intelligence and data analysis.
I have also worked in industry through an internship at Renault España Comercial in the Digital Transformation department, developing predictive analytics tools and data applications used by operational teams.
I am particularly interested in applied AI, robust ML pipelines, and building tools that translate research into practical impact.
Projects
RenalVision
Deep learning-based renal ultrasound classification system developed in collaboration with Hospital Gregorio Marañón.
PythonTensorFlow/KerasDeep LearningMedical ImagingPDF Generation
Libertad Wealth Manager & Property Sniper
Full-stack wealth management platform combining financial tracking, real estate investment analysis, and AI-powered financial coaching.
PythonFastAPIReactTypeScriptOpenAITailwind
Experience
Sep 2025 – Nov 2025
Research Collaboration – Spectroscopy Department, Carlos III University of Madrid
Worked with Prof. Aldo Luis Moreno Oyervides in the Spectroscopy Department to further develop the SpectralApp platform for research applications in functional spectral analysis.
Oct 2024 – Jun 2025
Renault España Comercial S.A.
Engineering Intern – Digital Transformation
- Designed and deployed an internal KPI analytics web application.
- Developed predictive forecasting models to support operational planning.
- Worked on logistics optimization initiatives with measurable efficiency gains.
- Collaborated closely with cross-functional and non-technical teams.
2023 – 2024
Erasmus at KU Leuven
Focus on AI & Data Analysis master-level courses at KU Leuven, a top-ranked European research university (Top 10 in Europe, Top 50–60 worldwide; 43rd by THE, 60th by QS, and ranked Belgium’s #1 university).
Education
BSc in Data Science and Engineering
Carlos III University of Madrid · 2020–2025
- Final Year Project: SpectralApp — a web platform for functional spectral data analysis developed in collaboration with the Spectroscopy Department.
- Additional project in Medical AI in collaboration with Hospital Gregorio Marañón focused on renal ultrasound classification.
Strong foundations in mathematics, statistics, machine learning and software engineering, complemented by hands-on projects and close collaboration with researchers and industry partners.
Skills
Programming
- Python
- TypeScript
- JavaScript
- SQL
- R
- Java
- C
Frameworks
- Next.js
- React
- FastAPI
- TailwindCSS
- Jupyter
AI & Data
- Machine Learning
- Predictive Modeling
- Statistical Modeling
- Bayesian Modeling
- Neural Networks
Contact
I’m always open to meaningful conversations, learning opportunities, and exciting projects in AI and data. Feel free to reach out.
Location
Madrid, Spain
© 2026 Lucas García García