Sebastián Sierra Alarcón

PHD Student at ENSEEIHT
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Contact Information
us****@****om
(386) 825-5501
Location
Bogota, D.C., Capital District, Colombia, CO

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Credentials

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    DeepLearning.AI
    Mar, 2022
    - Nov, 2024
  • Introduction to Embedded Machine Learning
    Edge Impulse
    Apr, 2021
    - Nov, 2024
  • Neural Networks and Deep Learning - deeplearning.ai -
    DeepLearning.AI
    Aug, 2020
    - Nov, 2024

Experience

  • ENSEEIHT
    • France
    • Higher Education
    • 1 - 100 Employee
    • PHD Student
      • Oct 2022 - Present

      Use of machine learning algorithms for Optical feedback interferometry to analyze microfluidics systems Use of machine learning algorithms for Optical feedback interferometry to analyze microfluidics systems

  • Universidad de Los Andes
    • Colombia
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Aug 2020 - Feb 2023

      Courses: Digital and Electronic Systems and Architecture of Electronic Systems I am currently collaborating in the development and support of these courses where the use of FPGAs for the creation of custom electronic systems is taught and in addition to this the use of new technologies such as the programming of microcontrollers in STM32 boards and the use of operating systems in real time like FreeRtos in these boards programming and teaching the tools like IDEs such STM32cubeIDE and MBED. Show less

  • SLB
    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Software Engineer
      • Oct 2020 - Jan 2021

      I worked on the development of predictive maintenance software, which consist in a forecasting algorithm for one of the most important tools in M&D area in our geo market. In which based on the information from all sensors of the tool, taken during the drilling period, the software gives recommendations to follow and perform a preventive maintenance identifying possible faults, parameters out of range, and correlating the faults with possible damage to the tool boards, all in order to reduce the time failures during drilling and improve the services and profits. Show less

  • SLB
    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Maintenance Engineer Trainee
      • Jul 2019 - Dec 2019

      I work with maintenance engineer team for the creation of a predictive maintenance software capable of detect errors on the boards of D&M Tools, based on the thermal distribution of its components (Thermal Analyzer). Using image processing and computer vision the software extract key point features and compare against a database of good thermal patterns. This software participates in Reliability projects contest of D&M labs around the world, and we obtain the second place. I contribute for the creation of electronic and digital systems and the automation of different process in search of optimize internal process in laboratory search to reduce non-productive time and improve the dissemination of information (Primary Visual Display, tool availability reports, rack calibration, electronic cable tester) Show less

Education

  • Universidad de los Andes - Colombia
    Master's degree, Ingeniería Electrónica y de Computadores
    2020 - 2022
  • Universidad de los Andes - Colombia
    Pregrado, Ingeniería Electrónica
    2015 - 2020

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