Data Scientist & ML Engineer | AWS Cloud Architect | Quantum Computing

I am a Data Scientist and Machine Learning Engineer with a Master's in Computer Engineering and advanced training in quantum mechanics and quantum information theory. My professional experience spans machine learning, deep learning, and data analytics, with a strong focus on cloud architecture and scalable solutions using AWS. My thesis work and research have centered on quantum database architectures and the integration of quantum principles into data science. I also contribute technical content as a writer and am recognized for my work in AI and autonomous systems.

• Education: MSc Computer Engineering (UOC), advanced programs at MIT & Stanford
• Quantum Focus: Academic background in quantum mechanics, quantum optics, quantum information
• Cloud: AWS Solutions Architect (EC2, S3, RDS, Lambda, DynamoDB, SageMaker, Step Functions)
• Languages: English (B2, UOC certified), Spanish (Native), Catalan (Native)
• Mobility: Open to opportunities in the US (Texas), Germany, Switzerland, UK

• Programming: Python, Jupyter Notebook
• Machine Learning: Neural Networks, Deep Learning, Image Classification, Data Mining, Data Visualization
• Quantum Computing: Quantum mechanics, quantum database architecture, quantum algorithms
• Cloud Solutions: AWS architecture, serverless, deployment, security, automation
• Mathematics: Applied topology, category theory

Several ML and DL projects, including neural network training, image classification with AWS SageMaker, and ML workflow automation using Step Functions.

Thesis repository: Quantum Database Architecture integrating multi-level atomic ensembles, Lindblad operators, EIT, and high-fidelity data encoding for ethical, secure, scalable data science.

Universitat Oberta de Catalunya · Jun 30, 2025
A unified framework treating large language models as physical systems, showing connections between optimization, information geometry, gauge symmetries, and holography. Proposes “Emergent Geometrodynamic Intelligence” as a paradigm for AI architectures.

MITx 8.06x · Jan 30, 2025
Explores the role of symmetry in quantum mechanics and field theory, tracing developments from the Klein-Gordon equation to spontaneous symmetry breaking and the Higgs mechanism.

Universitat Oberta de Catalunya (UOC) · Jan 7, 2025
Thesis on quantum memory, quantum data encoding, and secure data management, integrating quantum mechanics, optics, and ethical Big Data practices.

IEEE Computer Society · Jun 24, 2024
Analysis of the evolving role of quantum data scientists and the impact of quantum computing on optimization, medicine, and machine learning.

• Quantum mechanics & quantum computing
• Applied topology & category theory
• Cloud architecture & ML workflows
• AI, autonomous systems & robotics

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