About Me

I recently graduated with an MS in Computer Science, specializing in Machine Learning, from Georgia Tech. I have experience in research and development roles, particularly in building machine learning models, data pipelines, and software for various applications. My background spans projects in data science, machine learning, and robotics software development. Currently, I am seeking full-time roles as a data scientist, machine learning engineer, or software developer.

During my time at Georgia Tech, I worked on several projects, including developing a robotic assistant using ROS and Python, and creating machine learning pipelines for data analytics. Previously, I was a research engineer at IPICyT in Mexico, where I developed ETL pipelines, implemented data preprocessing techniques, and conducted regression analysis for air quality monitoring. Additionally, I gained experience as a research trainee at Brigham and Women's Hospital under Prof. Yu Shrike Zhang, where I developed biofabrication devices and conducted original research that resulted in publications.

Technical Skills

If you want to know more about my experience please check my resume here.

  • Python, SQL, JavaScript, HTML, CSS
  • Jupyter Notebook, Anaconda, ROS, Git, GitHub, Linux
  • NumPy, Scikit-Learn, SciPy, Pandas, Matplotlib, seaborn, PyTorch
  • Spanish, English

Projects

Please click on the images to go to the GitHub repository of each project.

Songs Mood Prediction

This project aims to train a machine learning classifier to predict the mood of a song based on its audio features.

Diabetes Prediction

The project aims to predict if a woman has diabetes based on medical data.

NBA Data Analysis Project

This project aims to analyze NBA data from 538 and Basketball Reference to explore associations between teams, win rates, and playoff appearances. The dataset includes information on five teams and various performance metrics, with additional variables added for a comprehensive analysis. I created several charts and tables to visualize the findings.

Simlulated Annealing Algorithm

This project involves a custom Python implementation of the Simulated Annealing algorithm to solve the 0/1 knapsack problem. The goal is to gain a better understanding of local search algorithms.

Robot Assistant to Find Lost Objects

This project involves developing software using ROS and Python for a system that uses the Hello Robot Stretch to find misplaced objects in houses. This project was developed under the supervision of Prof. Charlie Kemp at Georgia Tech.

Research

I've contributed to several academic publications during my time as a research trainee at Harvard Medical School. Please click on the image if you wish to check my Google Scholar profile.

Robot Manipulation Package

This project involves developing software using ROS and Python for the Hello Robot Stretch to perform autonomous mobile manipulation tasks. The project was developed under the supervision of Prof. Sonia Chernova at Georgia Tech.

3DOF Robotic Arm

This project involves constructing a 3DOF planar robotic arm and developing software using Python and Arduino to control it.