• Developed high-impact features.

• Led technical design for the projects I worked on.

• Wrote detailed documentation for business requirements, technical design, experiment and test plans.

• Dived deep on ambiguous requirements and a huge codebase to get the necessary information to develop the features.

• Collaborated with product, design and owners of multiple services to build features.

• Implemented and maintained Ruby on Rails and React applications

• Implemented and maintained Flask and Vue applications

• Wrote unit tests using Jest and RSpec, and end-to-end tests using Cypress

• Used TailwindCSS to improve the UX and UI of the applications

• Used PostgreSQL

• Used multiple AWS services

• Participated in the definition of infrastructure and tooling for the applications and services we use

• Performed maintenance of legacy code and refactor to use modern technologies

• Collaborated with the product and design teams to build features

• Participated in recruiting processes to scale the team

Support students to help them better understand the courses:

• Algorithms

• Programming fundamentals

• Operating systems

• Computer science applications

• Artificial Intelligence

Project: Identification of Peruvian languages

• Compile texts in multiple Peruvian languages from the Internet

• Automate text extraction

• Develop Python scripts to clean text

• Prepare the dataset based on the clean and labeled texts.

• Develop, train and compare various Machine Learning models and a Recurrent Neural Network.

• Develop a web application to present the results

• Write and present two papers in the SIMBig conference

Project: Classifiers committee for genetic expression data

• Develop a new machine learning algorithm based on classifier committees

• Automate testing multiple hyperparameters on the developed algorithm on various public datasets

• Compare results of the algorithm versus the Random Forest algorithm

• Write and present a paper in an IEEE BIBM conference