Carlos Mateo Jurado Díaz

Professional headshot of Carlos Mateo Jurado Díaz, Bioengineer with expertise in neuromodulation and AI

Bioengineer with a Master's degree in Artificial Intelligence and a robust track record in neuromodulation and clinical technical support. My professional experience is anchored in the high-complexity medical device sector, specifically providing on-site technical assistance for Deep Brain Stimulation (DBS) procedures. In this clinical role, I ensure the precision and safety of StealthStation S8 and Guideline 5 systems during surgery, as well as the post-operative programming of neurostimulators.

Complementing my clinical expertise, I have a strong background in research and technological development. Through my academic projects, I have implemented machine learning solutions for mental health data analysis and designed biomedical hardware, leveraging skills in Python and signal processing. As a founding member of the Colombian Society of Neuromodulation (SCON) and member of the International Neuromodulation Society (INS), I am committed to advancing medical technology standards. I possess valid visas for the United States and Canada, facilitating international mobility for business travel and professional training.

Experience

Clinical Specialist in Neuromodulation (External Support) — Medtronic

February 2023 — Present

  • Provide intraoperative technical support in Deep Brain Stimulation (DBS) surgeries, ensuring the correct installation, verification, and monitoring of the StealthStation S8 planning system and the Guideline 5 micro-electrode recording (MER) system.
  • Supervised CT acquisition and managed the loading of CT and MRI scans into the StealthStation, ensuring image quality for the surgical team's planning.
  • Execute comprehensive post-operative logistical protocols, including the collection, cleaning, and packaging of high-complexity medical equipment.
  • Provide specialized assistance in neuromodulation therapies, covering programming, neurostimulator recharging, and clinical support for Magnetic Resonance Imaging (MRI).
  • Educate patients and medical staff on the operation of external devices, ensuring treatment adherence and the correct use of technology.

Postgraduate Researcher in AI and Mental Health (Master's Internship) — Universidad Autónoma de Zacatecas

September 2024 — December 2024

  • Developed a comprehensive web application for clinical data analysis using Flask, designing the user interface with HTML, CSS, and JavaScript, and managing the backend with SQLite.
  • Executed data cleaning pipelines using Pandas and NumPy, implementing statistical techniques for handling null values, outlier detection, and dataset normalization.
  • Implemented Machine Learning models using Scikit-learn and created advanced statistical visualizations with Seaborn to identify patterns in mental health disorders.
  • Automated the generation of exportable PDF result reports, optimizing the delivery of key insights to research teams.

R&D Engineer in Bioinstrumentation (Research Internship) — Universidad de Antioquia

September 2021 — April 2022

  • Programmed microcontrollers (DFRobot Beetle ESP32 v2.0) using C++/Arduino for real-time biosignal acquisition (IoT), optimizing the embedded system architecture for integration into medical devices.
  • Developed the sEMG signal processing chain by integrating signal conditioning circuits and ADCs, enabling efficient analog-to-digital data transformation for subsequent analysis.
  • Executed experimental validation protocols for a myoelectric prosthesis, analyzing performance metrics and ensuring data integrity under strict biomedical safety standards.

Laboratory Assistant — Universidad de Antioquia

November 2021 — March 2022

  • Conducted functional verification of laboratory equipment (multimeters, power supplies) to support courses in Circuits, Analog/Digital Electronics, and Signal Processing.
  • Managed the inventory and daily allocation of electronic components (ICs, passive elements) and measurement tools, ensuring resource availability for student practices.
  • Provided technical support to students regarding equipment configuration and component specifications during bioinstrumentation laboratory sessions.

Education

Master's degree in Artificial Intelligence — International University of La Rioja, Remote

March 2024 — May 2025

Bachelor's degree in Bioengineering — University of Antioquia, Medellín

February 2015 — June 2022

  • International Exchange: Universidad Veracruzana, Mexico (Feb 2019 – Jul 2019).
  • Teaching Assistant: Bioinstrumentation Laboratory Assistant (Nov 2021 – Mar 2022).
  • Honors: Academic Excellence Distinction (2019-2).

Continuing Education

Licenses and Certifications

Languages

Skills

Programming

  • Scientific Computing: Python (Advanced) & R
  • Database Management: SQL (MySQL, SQLite)
  • Systems & Web: C++ & JavaScript
  • Paradigm: Object-Oriented Programming (OOP)

Data Science

  • Predictive Modeling: Machine Learning & Scikit-learn
  • Deep Learning Frameworks: TensorFlow, Keras & PyTorch
  • Applied AI: NLP (spaCy) & Computer Vision (OpenCV)
  • Feature Engineering: Extraction & Selection Pipelines

Data Analysis

  • Statistical Computing: Pandas, NumPy & SciPy
  • Business Intelligence (BI): Power BI & Tableau
  • Interactive Visualization: Plotly, Seaborn & Matplotlib
  • Data Storytelling: Dashboards & Executive Reporting

Web Development

  • Data Applications: Streamlit
  • Lightweight Backend: Flask
  • Frontend Prototyping: HTML5, CSS3 & Bootstrap
  • Deployment: Model Integration for Web

Neuromodulation

  • Stereotactic Planning: StealthStation S8
  • Intraoperative Neurophysiology: MER System (Guideline 5)
  • DBS Therapy: Neurostimulator Programming
  • Clinical Support: Technical Assistance in OR

Clinical Engineering

  • Bioinstrumentation: Prototyping with Arduino/ESP32
  • Signal Processing: DSP & Digital Filtering
  • Medical Imaging: Multimodal Fusion (CT/MRI)
  • Hospital Safety: MRI Protocols & Impedance Checks

Tools & Cloud

  • Cloud Infrastructure: Azure Fundamentals & AWS SageMaker
  • Version Control: Git, GitHub & CI/CD Workflows
  • Dev Environments: JupyterLab, Google Colab & VS Code
  • Generative AI: Prompt Engineering & LLM Workflows

Interpersonal Skills

  • Clinical Management: Interdisciplinary Communication
  • Leadership: Technical Team Coordination
  • Problem Solving: Real-time Troubleshooting
  • Education: Technical Training for Patients & Staff