YE

Yeison Cardona

@YeisonCardona

Python Ninja, Electronic Engineer, MSc, Doctoral student, Developer, BCI researcher. @DunderLab

Manizales - Colombia

Joined April 2013

53 Followers

4 Following

AI Insights & Achievements

22/ 100

Veteran

Coding for 13 years.

Influencer

53 followers.

Profile README

👨‍💻 Yeison N. Cardona A.

PhD(c) in Automation | MSc in Industrial Automation | Electronic Engineer | Backend & BCI Researcher

🧠 About Me

I’m a multidisciplinary engineer with 15+ years of Python experience, currently a PhD candidate and adjunct professor at Universidad Nacional de Colombia (Digital Signal Processing).

I specialize in backend engineering, DevOps, and brain-computer interfaces (BCI), bridging hardware and software for real-time, scalable systems. My work spans:

🧠 Neurotechnology, BCI & biomedical signal processing
🖥️ Backend & API development with microservices and CI/CD
📊 Data pipelines, monitoring, and observability stacks
📡 Embedded systems, FPGA design, and SDR prototyping

🛠️ Tech Stack & Tools

Languages: Python, C/C++, Bash, TypeScript, JavaScript, VHDL/Verilog, HTML/CSS
Frameworks: FastAPI, Django, Flask, Angular, React, TensorFlow, PyTorch, Keras
Cloud & DevOps: Docker, Kubernetes, GitHub Actions, GCP, AWS, Azure, Terraform
Databases: PostgreSQL, TimescaleDB, SQLite, MySQL, MongoDB, Redis
Embedded & Hardware: ESP32, STM32, Raspberry Pi, OpenBCI, FPGA (Xilinx/Intel)
UI/UX: PyQt, PySide, Dash, Angular Material, Brython
Others: Kafka, Prometheus, Grafana, Sphinx, 3D Printing, CNC

🚀 Featured Projects

CtenoLab: Real-time BCI experimentation platform with hardware triggers & TensorFlow Serving
Radiant-Wrapper: Python-to-Android build system with Docker & GitHub Actions
Chaski-Confluent: Distributed messaging framework with AI-driven routing
BCI-Framework: EEG experiments and real-time visualization tools
Qt-Material: Material Design stylesheet for PyQt/PySide
OpenBCI-Stream: EEG/EMG/ECG data streaming framework