Hi, I'm Daniela Gómez,
Mechatronics Engineer | Artificial Intelligence
About Me
I'm Mechatronics Engineer based in Cali, Colombia.
I have knowledge in robotics, artificial intelligence and basics of cloud computing. Regarding robotics, I have skills in basic to intermediate management of the Linux operating system, especially related to ROS middleware, Gazebo and Rviz tools, and autonomous navigation tasks. Regarding to artificial intelligence, I have knowledge in machine learning algorithms, like regression and classification (including logistic regression, support vector machine, k-means, among others), as part of supervised and unsupervised learning. Also, I have knowledge in basics of Deep Learning, such as the management of neural networks. Finally, I have basic skills in some cloud computing tools, like Vagrant, load balancing with HAProxy, provisioning with shell, service discovery and cluster creation with Consul, knowledge about Docker and Docker Compose, and some Azure tools (Kubernetes cluster, Virtual Machines and Azure Machine Learning). Moreover, I have skills in 3D modeling tools such as SolidWorks and in the Google Colab development environment.
Education
Studies carried out throughout life.
Elementary and High School
Liceo Benalcazar
2004 - 2016
Professional
Universidad Autonoma de Occidente
2017 - 2022
Undergraduate in Mechatronics Engineering.
Specialization
Universidad Autonoma de Occidente
2022 - 2023
Graduate in Artificial Intelligence.
Works/Projects
Fulfilled projects.
Linear Regression Example
In this project, different linear regression models are created, which allow working with regression problems. One of them is created from scratch from a base page, another one does the same by changing the optimizer, and the last one is done using the Scikit Learn library.
Logistic Regression Example
In this project, different logistic regression models are created, which allow working with binary classification problems. One of them is created from scratch from a base page, another one does the same by changing the optimizer, and the last one is done using the Scikit Learn library.
Consul Cluster using Vagrant
In this project three virtual machines are created using Vagrant. The objective of this project is to implement a service mesh (cluster) with the help of Hashicorp Consul. In addition, a load balancer is implemented with HAProxy and the virtual machines are automatically provisioned with the Shell provisioner.
Autonomous Navigation System for Mobile Robots on Sidewalks
Development of an autonomous navigation system for a basic differential robot for navigation on sidewalks, using the middleware ROS2 and ROS2 navigation stack, as well as other tools like Gazebo and Rviz.
Classification and Regression Algorithms in Machine Learning
In this project, different classification and regression algorithms are implemented, taking into account supervised and unsupervised learning problems. Also, an example of dimensionality reduction is implemented at the end.
