David Francisco Calles Milla

David Francisco Calles Milla has worked in a variety of roles since 2016. David Francisco began their career as a Teaching Assistant at Pontifical Javeriana University. In 2021, they worked as a Hardware Technician at Conestoga College, where they performed computer builds and upgrades, managed more than 100 devices, and did software imaging, hardware troubleshooting, and general-purpose electronic equipment installing and testing. David Francisco also worked as an Engineering Trainee at Impala Terminals that year, where their responsibilities included electronic equipment assessment, technological obsolescence of navigation equipment of vessels, and technological renovation project planning. In 2022, they held the role of Embedded Systems Developer Intern at GEOTAB, where they developed an infrastructure for accelerometer/gyroscope and gps data filter testing and improvement with external data, reducing dozens of hours in testing time. David Francisco is currently working as an Embedded Developer at Muse® by Interaxon Inc., where their duties include firmware development and maintenance of EEG, PPG, IMU, PMIC, and BLE for low-power wearable devices.

David Francisco Calles Milla has an education history that includes a Graduate Certificate in Embedded System Development from Conestoga College (2021-2022) and an Electronics engineering bachelors degree from Pontificia Universidad Javeriana (2016-2021). David Francisco also holds several certifications, such as Professional Scrum Master I (PSM I) from Scrum.org (2022), C Programming for Embedded Applications from LinkedIn (2021), Introduction to GIT and GitHub from Google (2021), Electronics Engineer from Pontificia Universidad Javeriana (2021), Honorific Mention for Final Capstone Project from Pontifical Javeriana University (2021), Honour: Best final score within graduates from National Association of Javerian Engineers (2021), Honour: Jos\u00e9 Gabriel Maldonado from National Association of Javerian Engineers (2021), and CV0101EN: Computer Vision Fundamentals with Watson and OpenCV from IBM (2020).