Johan Steven Mejía Mogollón

Johan Steven Mejía Mogollón has extensive work experience in the field of engineering and research. Johan Steven is currently working as a Development Engineer at BrainChip since 2022. In their previous role as a Machine Learning Software Engineer at Visual Behavior from 2021 to 2022, Johan was responsible for developing computer vision models and executing applications for real-time prediction on embedded systems. Johan Steven utilized various tools such as Gitlab, VS Code, Aloception, Pytorch Lightning, torchserve, and tensorRT for these projects.

Prior to that, Johan worked as a Research Project Assistant at Pontificia Universidad Javeriana from 2019 to 2020, where they focused on data acquisition systems, digital analysis of images and signals, and Python development for embedded systems, microcontrollers, and FPGA. Johan Steven also had experience with the Linux operating system during this role.

Before that, Johan gained experience as a Junior Project Engineer at Inversiones Gutiérrez García y Cia S en C from 2018 to 2019. Here, they developed and implemented artificial vision algorithms, as well as solutions in IoT using Raspberry Pi and Python programming language. Johan Steven also worked on sensor networks during this time.

During their time at Universidad Distrital Francisco José de Caldas, Johan served as a Laboratory Monitor in multiple periods from 2016 to 2017. These experiences further enhanced their skills and provided him with practical knowledge in their field.

Overall, Johan Steven Mejía Mogollón has a diverse background in engineering, research, and software development, with a focus on computer vision and embedded systems.

Johan Steven Mejía Mogollón has a strong educational background in the field of data science and engineering. Johan Steven completed their Master of Science in Information Technologies with a specialization in Data Science at IMT Atlantique from 2020 to 2022. Prior to that, they obtained a degree in Electronic Engineering from Universidad Distrital Francisco José de Caldas, which they completed from 2013 to 2019.

In addition to their formal education, Johan has also acquired several certifications to enhance their skills. Johan Steven obtained certification in "Object-Oriented C++: Inheritance and Encapsulation" from Coursera in February 2022. Johan Steven also received certification as a "Triplebyte Certified" professional from Triplebyte in January 2022. Furthermore, they completed the "DS4A / Colombia 3.0" program offered by Correlation One in November 2020.

Johan's commitment to professional development is evident through their participation in various online courses. Johan Steven completed courses such as "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Introduction to Data Science in Python," "Neural Networks and Deep Learning," and "Intro to TensorFlow en Español" on Coursera between August 2020 and October 2019. Additionally, they completed the "Convolutional Neural Networks" course on Coursera in September 2019.

Overall, Johan Steven Mejía Mogollón has a solid educational foundation in data science and engineering, supplemented by certifications and additional online courses to further enhance their skills in the field.