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Dear Hiring Team, I am currently completing my Master’s in Innovative Technology for Healthy Living at KTH Royal Institute of Technology, where I have developed a multidisciplinary foundation that bridges biomedical engineering, machine learning, and software development. Through both clinical and startup experience, I have built a strong profile in designing, implementing, and deploying data-driven solutions for real-world healthcare challenges. During my internship in the Radiation Oncology Department at Hospital Universitario Ramón y Cajal, I was the project owner for an end-to-end NLP system designed to extract clinical insights from complex oncology records. I managed the full lifecycle: dataset construction and annotation using Prodigy, model development with spaCy (NER pipelines for disease classification and treatment extraction), and model evaluation, optimization, and deployment for clinical research workflows. This experience strengthened my understanding of algorithms, data structures, and workflow design while giving me practical exposure to sensitive medical data and rigorous validation requirements. After this, I joined the medtech startup Monitoring-Life as a Clinical Trial and Technical Project Associate. I coordinated the operational and technical aspects of a multi-center clinical trial, serving as the bridge between engineers and hospital staff. My work included developing and validating a predictive cardiac multisensor system, performing data analysis in Python, ensuring MDR compliance, and contributing to product safety assessments. I also engineered data pipelines, containerized tools with Docker, and supported deployment and automation processes using Azure DevOps. This role deepened my ability to work across engineering, regulation, and clinical implementation. In addition to ML development, I have experience in web development using Django, API design, and building analytics dashboards. I work extensively with Python’s data science ecosystem (Pandas, NumPy, Matplotlib, Scikit-Learn) and have built ML prototypes with PyTorch and TensorFlow. I am comfortable with Git, CI/CD practices, and DevOps-oriented workflows. Technical Skills: • ML/AI: PyTorch, TensorFlow, Scikit-Learn • NLP: spaCy, Prodigy • Data Science: Pandas, NumPy, Matplotlib • DevOps: Docker, Azure DevOps • Software Engineering: Git, REST APIs, OOP • Web Development: Django, HTML/CSS • Other: Power BI, Tableau, Fusion 360 I am fluent in Spanish, French, and English, and I am continuously improving my German. I am highly motivated to contribute to a dynamic, international, and technically driven team, and I look forward to the opportunity to bring my experience to your organization.…Dear Hiring Team, I am currently completing my Master’s in Innovative Technology for Healthy Living at KTH Royal Institute of Technology, where I have developed a multidisciplinary foundation that bridges biomedical engineering, machine learning, and software development. Through both clinical and startup experience, I have built a strong profile in designing, implementing, and deploying data-driven solutions for real-world healthcare challenges. During my internship in the Radiation Oncology Department at Hospital Universitario Ramón y Cajal, I was the project owner for an end-to-end NLP system designed to extract clinical insights from complex oncology records. I managed the full lifecycle: dataset construction and annotation using Prodigy, model development with spaCy (NER pipelines for disease classification and treatment extraction), and model evaluation, optimization, and deployment for clinical research workflows. This experience strengthened my understanding of algorithms, data structures, and workflow design while giving me practical exposure to sensitive medical data and rigorous validation requirements. After this, I joined the medtech startup Monitoring-Life as a Clinical Trial and Technical Project Associate. I coordinated the operational and technical aspects of a multi-center clinical trial, serving as the bridge between engineers and hospital staff. My work included developing and validating a predictive cardiac multisensor system, performing data analysis in Python, ensuring MDR compliance, and contributing to product safety assessments. I also engineered data pipelines, containerized tools with Docker, and supported deployment and automation processes using Azure DevOps. This role deepened my ability to work across engineering, regulation, and clinical implementation. In addition to ML development, I have experience in web development using Django, API design, and building analytics dashboards. I work extensively with Python’s data science ecosystem (Pandas, NumPy, Matplotlib, Scikit-Learn) and have built ML prototypes with PyTorch and TensorFlow. I am comfortable with Git, CI/CD practices, and DevOps-oriented workflows. Technical Skills: • ML/AI: PyTorch, TensorFlow, Scikit-Learn • NLP: spaCy, Prodigy • Data Science: Pandas, NumPy, Matplotlib • DevOps: Docker, Azure DevOps • Software Engineering: Git, REST APIs, OOP • Web Development: Django, HTML/CSS • Other: Power BI, Tableau, Fusion 360 I am fluent in Spanish, French, and English, and I am continuously improving my German. I am highly motivated to contribute to a dynamic, international, and technically driven team, and I look forward to the opportunity to bring my experience to your organization.

Alberto de los Ríos

AI Engineer, Data Scientist, Full Stack Developer, +2

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Dear Hiring Team, I am currently completing my Master’s in Innovative Technology for Healthy Living at KTH Royal Institute of Technology, where I have developed a multidisciplinary foundation that bridges biomedical engineering, machine learning, and software development. Through both clinical and startup experience, I have built a strong profile in designing, implementing, and deploying data-driven solutions for real-world healthcare challenges. During my internship in the Radiation Oncology Department at Hospital Universitario Ramón y Cajal, I was the project owner for an end-to-end NLP system designed to extract clinical insights from complex oncology records. I managed the full lifecycle: dataset construction and annotation using Prodigy, model development with spaCy (NER pipelines for disease classification and treatment extraction), and model evaluation, optimization, and deployment for clinical research workflows. This experience strengthened my understanding of algorithms, data structures, and workflow design while giving me practical exposure to sensitive medical data and rigorous validation requirements. After this, I joined the medtech startup Monitoring-Life as a Clinical Trial and Technical Project Associate. I coordinated the operational and technical aspects of a multi-center clinical trial, serving as the bridge between engineers and hospital staff. My work included developing and validating a predictive cardiac multisensor system, performing data analysis in Python, ensuring MDR compliance, and contributing to product safety assessments. I also engineered data pipelines, containerized tools with Docker, and supported deployment and automation processes using Azure DevOps. This role deepened my ability to work across engineering, regulation, and clinical implementation. In addition to ML development, I have experience in web development using Django, API design, and building analytics dashboards. I work extensively with Python’s data science ecosystem (Pandas, NumPy, Matplotlib, Scikit-Learn) and have built ML prototypes with PyTorch and TensorFlow. I am comfortable with Git, CI/CD practices, and DevOps-oriented workflows. Technical Skills: • ML/AI: PyTorch, TensorFlow, Scikit-Learn • NLP: spaCy, Prodigy • Data Science: Pandas, NumPy, Matplotlib • DevOps: Docker, Azure DevOps • Software Engineering: Git, REST APIs, OOP • Web Development: Django, HTML/CSS • Other: Power BI, Tableau, Fusion 360 I am fluent in Spanish, French, and English, and I am continuously improving my German. I am highly motivated to contribute to a dynamic, international, and technically driven team, and I look forward to the opportunity to bring my experience to your organization.…Dear Hiring Team, I am currently completing my Master’s in Innovative Technology for Healthy Living at KTH Royal Institute of Technology, where I have developed a multidisciplinary foundation that bridges biomedical engineering, machine learning, and software development. Through both clinical and startup experience, I have built a strong profile in designing, implementing, and deploying data-driven solutions for real-world healthcare challenges. During my internship in the Radiation Oncology Department at Hospital Universitario Ramón y Cajal, I was the project owner for an end-to-end NLP system designed to extract clinical insights from complex oncology records. I managed the full lifecycle: dataset construction and annotation using Prodigy, model development with spaCy (NER pipelines for disease classification and treatment extraction), and model evaluation, optimization, and deployment for clinical research workflows. This experience strengthened my understanding of algorithms, data structures, and workflow design while giving me practical exposure to sensitive medical data and rigorous validation requirements. After this, I joined the medtech startup Monitoring-Life as a Clinical Trial and Technical Project Associate. I coordinated the operational and technical aspects of a multi-center clinical trial, serving as the bridge between engineers and hospital staff. My work included developing and validating a predictive cardiac multisensor system, performing data analysis in Python, ensuring MDR compliance, and contributing to product safety assessments. I also engineered data pipelines, containerized tools with Docker, and supported deployment and automation processes using Azure DevOps. This role deepened my ability to work across engineering, regulation, and clinical implementation. In addition to ML development, I have experience in web development using Django, API design, and building analytics dashboards. I work extensively with Python’s data science ecosystem (Pandas, NumPy, Matplotlib, Scikit-Learn) and have built ML prototypes with PyTorch and TensorFlow. I am comfortable with Git, CI/CD practices, and DevOps-oriented workflows. Technical Skills: • ML/AI: PyTorch, TensorFlow, Scikit-Learn • NLP: spaCy, Prodigy • Data Science: Pandas, NumPy, Matplotlib • DevOps: Docker, Azure DevOps • Software Engineering: Git, REST APIs, OOP • Web Development: Django, HTML/CSS • Other: Power BI, Tableau, Fusion 360 I am fluent in Spanish, French, and English, and I am continuously improving my German. I am highly motivated to contribute to a dynamic, international, and technically driven team, and I look forward to the opportunity to bring my experience to your organization.

Available to hire

Berlin, Germany

Dear Hiring Team,

I am currently completing my Master’s in Innovative Technology for Healthy Living at KTH Royal Institute of Technology, where I have developed a multidisciplinary foundation that bridges biomedical engineering, machine learning, and software development. Through both clinical and startup experience, I have built a strong profile in designing, implementing, and deploying data-driven solutions for real-world healthcare challenges.

During my internship in the Radiation Oncology Department at Hospital Universitario Ramón y Cajal, I was the project owner for an end-to-end NLP system designed to extract clinical insights from complex oncology records. I managed the full lifecycle: dataset construction and annotation using Prodigy, model development with spaCy (NER pipelines for disease classification and treatment extraction), and model evaluation, optimization, and deployment for clinical research workflows. This experience strengthened my understanding of algorithms, data structures, and workflow design while giving me practical exposure to sensitive medical data and rigorous validation requirements.

After this, I joined the medtech startup Monitoring-Life as a Clinical Trial and Technical Project Associate. I coordinated the operational and technical aspects of a multi-center clinical trial, serving as the bridge between engineers and hospital staff. My work included developing and validating a predictive cardiac multisensor system, performing data analysis in Python, ensuring MDR compliance, and contributing to product safety assessments. I also engineered data pipelines, containerized tools with Docker, and supported deployment and automation processes using Azure DevOps. This role deepened my ability to work across engineering, regulation, and clinical implementation.

In addition to ML development, I have experience in web development using Django, API design, and building analytics dashboards. I work extensively with Python’s data science ecosystem (Pandas, NumPy, Matplotlib, Scikit-Learn) and have built ML prototypes with PyTorch and TensorFlow. I am comfortable with Git, CI/CD practices, and DevOps-oriented workflows.

Technical Skills:
• ML/AI: PyTorch, TensorFlow, Scikit-Learn
• NLP: spaCy, Prodigy
• Data Science: Pandas, NumPy, Matplotlib
• DevOps: Docker, Azure DevOps
• Software Engineering: Git, REST APIs, OOP
• Web Development: Django, HTML/CSS
• Other: Power BI, Tableau, Fusion 360

I am fluent in Spanish, French, and English, and I am continuously improving my German. I am highly motivated to contribute to a dynamic, international, and technically driven team, and I look forward to the opportunity to bring my experience to your organization.