Jesús Sánchez Rodríguez

I am a Computer Engineer and Physiotherapist specialized in Medical Informatics. My career is built on a dual expertise that combines clinical health knowledge with advanced technical development, specifically in Backend systems, Artificial Intelligence (AI), and digital healthcare solutions.

• Machine Learning Engineer at TwinFit (Since March 2025): I play a key role in the development of TwinFit, a cutting-edge project utilizing accelerometer and gyroscope sensors for workout tracking. I lead the Machine Learning department, where I:
  • Process and feature engineer data from inertial sensors (ACC/Gyro).
  • Implement and optimize Random Forest models for activity classification.
  • Research and test Neural Networks to enhance movement recognition accuracy and predictive analytics.
• Clinical Healthcare Expert: My extensive background as a physiotherapist provides me with a deep, first-hand understanding of medical workflows and professional needs. This clinical lens allows me to design and develop software that is not only technically robust but also practically aligned with real-world medical practice.

I am a versatile and autonomous developer driven by a commitment to innovation and continuous learning. My portfolio reflects a wide range of interests, from complex API integrations to social impact initiatives.

• Social Impact - Chatbot for Refugees: A dedicated project where I apply my technical skills to provide support and information for displaced populations, reinforcing my goal of using technology for meaningful innovation.

• Backend & Data Science: Python (FastAPI, Flask), Scikit-Learn (Random Forest), TensorFlow/PyTorch (Neural Networks), signal processing.
• AI & Databases: Large Language Models (LLM), MongoDB, SQL, and NoSQL architecture.
• Digital Health: Design and implementation of digital solutions for clinical environments and wearable-based health tracking.

I am an empathetic and culturally curious professional. I am currently seeking to collaborate with HealthTech companies and innovative software firms where I can leverage my unique profile as a Python Developer specialized in medical technologies.

I prioritize organization and structure in my daily tasks, which is reflected in my coding practices. I am committed to writing clean, maintainable, and well-documented code by following established standards and best practices. I emphasize modular design to enhance scalability and reusability, while ensuring my solutions remain simple, clear, and easy to understand. My goal is to deliver efficient code that balances functionality with readability.