Hey there!
I'm Leo.
I am an undergraduate Computer Science student at Michigan State.
My goal is to create cools things and make people's life simpler and easier with tech.
Fall 2024 - Spring 2025
Software Development Engineer Intern
Creating a better Developer Experience through platformization and a strong Foudation.
Summer 2023
Software Development Engineer Intern
Making people's life easier through your personal AI assistant!
Implemented and deployed a new feature utilizing Java for the back-end and React Native for the front-end, enabling end customers to experiment various functionalities within Alexa.
Drove productive collaboration across 4 diverse teams, with different code bases to deliver high quality code, including comprehensive documentation, unit testing, and thorough end-to-end manual testing.
Fall 2022 - Spring 2024
Founder and Developer
Founded 2 years ago, Spartan Tutors is a venture ran by me and a partner during school semester.
Through an app, built by me, we connect tutors with students who need help in Computer Science classes! Together with our tutors we have held more than 1000 sessions and helped more than 200 people.
Awarded the Burgess New Venture Challenge prize of $5,000 dollars, winning in 4th place of the best startups in 2024!
Spring 2022 - Spring 2025
Teaching Assistant
Teaching and programming are two things that I am passionate about, with this job I get to do both.
Helped students to learn Python and C++ through weekly labs, office hours and weekly assignments.
Summer 2022
Risk Data Analyst Intern
Analyzed fraud and user data using Python and Data Studio to identify money laundering patterns, client behavior and validate banking product viability and improvement possibilities.
Developed an automation project using Python to extract bureau API data, combined with database SQL queries in order to generate user's risk analysis; leading to a 88% productivity increase, saving 210h/month.
April 2020 - June 2021
Data Analyst
Created a complete data structure to analyze the company's data. Presented the results for the entire team and explained the importance of using data insights to make decisions.
Used Python, Java Script, APIs, and Power BI to automate and share visual dashboards, incrementing an automated data-driven culture in the company.