Education¶
Master in Software and Computer Science¶
Universidad de los Andes · 2022 — 2025
Graduate program in systems and computing engineering (MISIS), oriented around designing, implementing, and evaluating innovative solutions to complex problems using current information and communication technologies. The program offers curricular flexibility and is structured around the department’s research groups (COMIT, IMAGINE, TICSw), which I used to focus on machine learning, deep reinforcement learning, and applied robotics.
Master’s thesis: Evaluation of transfer learning for roadside driving behavior in autonomous robots — transferring the knowledge of a previously trained TD3 (Twin Delayed Deep Deterministic Policy Gradient) self-driving agent to a new agent that starts its task from scratch, on a TurtleBot3 mobile robot inside the Gazebo simulation environment. See Projects for more.
Mechatronic Engineer¶
Universidad Militar Nueva Granada · 2014 — 2021[1]
Foundational training across mechanical, electronic, and control-systems engineering — the multidisciplinary backbone behind my robotics work. Areas covered include industrial automation and process control, robotics, mechatronic system design, CAD/CAE/CAM, embedded hardware/software integration, and manufacturing.
Undergraduate thesis: a hybrid navigation stack for a mobile base that
follows an A* planned path and switches to a Deep Q-Learning policy
when it encounters an unknown dynamic obstacle. I built a digital twin of
the UMNG robotics lab in Gazebo running a
TurtleBot3
as the test platform — see the thesis demo on YouTube
for the policy navigating the simulated lab.
Robotics course: led the class on the Robot Operating System (ROS 1 Kinetic), sharing knowledge with classmates and building a custom robot with ROS embedded onboard — a first for the course. I’m certified in ROS 1 by The Construct, with a working understanding of its core building blocks: nodes, topics, services, actions, parameters, and the communication patterns that tie them together.