Software EngineerNeuroengineering Researcher
I build software and study how brain signals can be used to interact with technology.
I have experience building web products and systems with React, TypeScript, Java, and Python.
I am currently pursuing a master's degree in Engineering focused on brain-computer interfaces.
Learn Technology, artificial intelligence, and neuroscience topics I explore in more detail.
A selection of projects I have worked on as a software engineer.
01 / 06
Applications and platforms
A platform for publishing, browsing, and selling digital sheet music. I developed the web sheet music reader and worked on administration features, e-commerce functionality, and storage and authentication integrations.
02 / 06
Applications and platforms
Universidad de Antioquia
An application for managing administrative procedures at a university faculty. I built it so administrative teams could prepare and track requests in one place.
03 / 06
Applications and platforms
Universidad de Antioquia
A system for booking spaces and equipment, and recording issues with those resources. It centralizes their availability, reservations, and follow-up for the administrative team.
04 / 06
Applications and platforms
Universidad de Antioquia
An application for consulting budget and financial information used in administrative processes at a university faculty.
05 / 06
Applications and platforms
Universidad de Antioquia
A tool for comparing accounting movements and detecting differences during the administrative review process.
06 / 06
Websites
Design by Sal & Picciotto
Corporate website for a design agency. I implemented the site that presents its services and portfolio, based on the agency’s visual design.
Master’s in Engineering · Universidad de Antioquia
I study how brain signals related to imagined movement can be interpreted. My master's research focuses on motor imagery decoding using low-density EEG, EMG-based control of muscular contamination, and real-time visual feedback.
EEG decoding
The system uses eight EEG channels placed over sensorimotor regions. It processes brain activity associated with upper-limb motor imagery tasks.
Muscular contamination control
The forearm EMG signal is used to detect unintended muscle activity and reject contaminated segments. It is not an additional classifier input or an independent control channel.
Adaptive visual feedback
The classifier output is translated into a visual response during the task. The participant receives this feedback while performing the experiment, which enables closed-loop evaluation of the decoding.
A space where I explore and explain technology, artificial intelligence, and neuroscience topics as I learn about them.
May 2022 – Present
Software Engineer
I develop applications and integrations for business and institutional clients. I focus on the tools their teams use to manage content, products, and workflows.
Nov 2021 – May 2026
Software Engineer
I contributed to the evolution of web products used by educational institutions. I worked on administrative interfaces, Java backend services, and migrating functionality from Angular to React.
Feb 2020 – Nov 2021
Backend Developer
I developed services and operational tools for distributed applications. I worked on microservices and asynchronous workflows on AWS for data processing and operational monitoring.