⚡ Also known as C4PT4IN CH405

🎓 Electronic Engineer (Cum Laude) and Computer Science & Artificial Intelligence Student, passionate about designing software that bridges the gap between intelligent algorithms and real-world applications.

💻 Focused on Backend Development, Software Architecture, and Cloud Computing, building scalable web applications, APIs, automation platforms, and distributed systems.

☁️ Currently expanding my expertise in AWS Cloud and Data Engineering, with a strong interest in designing data-driven and cloud-native solutions.

🤖 Experienced in Artificial Intelligence, Computer Vision, IoT, Embedded Systems, and Robotics, combining hardware and software to solve complex engineering problems.

📚 IEEE research author and lifelong learner, continuously exploring emerging technologies through hands-on projects, certifications, and open-source contributions.

🚀 I enjoy transforming ideas into efficient, scalable, and impactful software solutions.

A curated portfolio of my most impactful and hands-on work.

Highlighted certifications in Cloud Computing, Data Engineering, Artificial Intelligence, Cybersecurity, and Data Analytics, demonstrating hands-on expertise in building secure, intelligent, and scalable software solutions.

Building cloud-native applications, scalable infrastructure, secure networking, and modern data engineering solutions using AWS and Google Cloud.

Transforming raw data into meaningful insights through SQL, data analytics, statistical techniques, and machine learning preprocessing.

Exploring intelligent systems through machine learning, deep learning, neural networks, computer vision, and generative AI.

Developing practical skills in cyber defense, endpoint protection, threat management, and network security to build resilient and secure systems.

Building a solid foundation in computer networking, network devices, IP connectivity, and infrastructure configuration for modern enterprise environments.

Hands-on experience designing embedded systems, IoT solutions, firmware, and connected devices using microcontrollers, wireless communication, sensors, and backend integration.

Strengthening foundations in software development, programming languages, web technologies, and computational thinking through hands-on learning.

Exploring emerging technologies, digital transformation, and interdisciplinary engineering concepts to understand the impact of technology in modern industries.

Josh López, Julián Lozada, Marco Terán, Ana Cediel, Maria Camila Tole, “An IoT System for Telemedicine Utilizing Electrocardiogram Technology” (IEEE Conference/Journal), 2023 IEEE Colombian Conference on Communications and Computing (COLCOM).
🔗 View on IEEE Xplore

This paper presents the design and implementation of an Internet of Things (IoT)-based system for remote electro-cardiogram monitoring.

• 📡 IoT-Based Monitoring: The system enables remote ECG acquisition and visualization through an Internet of Things (IoT) architecture.
• 🫀 Signal Acquisition: ECG signals are captured using electrodes placed on the user’s limbs.
• 🎛️ Signal Conditioning: The analog signals are amplified and filtered using instrumentation amplifiers and bandpass filters to ensure high-quality readings.
• 🔁 Client-Server Communication: ECG data is transmitted using socket-based communication between an ESP32 and a Raspberry Pi.
• 🌐 Real-Time Web Access: Data is forwarded to a central web server, allowing real-time analysis and visualization of ECG signals via a browser.
• 👨‍⚕️ Remote Evaluation: Physicians can remotely monitor and assess patients' heart activity, overcoming geographic barriers.

"See the world, face dangers, break through walls, reach out to others, find yourself, and feel. That's the purpose of life."
— From The Secret Life of Walter Mitty