Andres’ Portfolio
A bit about me, my work experience, extracurriculars, and personal projects is on this website. Click below to jump to a section or simply scroll through.
About Me
Interests
I have interests in many parts of computer science ranging from game, app, and web development to machine learning, embedded programming, and theory.
Skills
Languages
Frameworks
Other

Background and Passions
I’m an incoming junior at MIT studying Computer Science (6-3) and Mathematics (18). I am passionate about creating tools and experiences for others to use, especially those that are technically challenging or interesting. There is nothing like building something useful for someone, or creating something that, under the hood, is special. When it comes to engineering for society, I am especially passionate about engineering towards a positive social impact. As a FLI, Dominican-American student, exploring how technology can play a role in academic outreach is particularly intriguing to me.
Extracurriculars

Learn more about my work on DormSoup as a member of SIPB.

More about my work with Code for Good.

A glimpse of the work I’ve done with MIT Motorsports.

August 2023 - July 2025
Background Information
Description
Each year, the MIT Motorsports team builds an electric racecar. During my two years on the team I worked on the Telemetry/DAQ system which focuses on acquiring data from the racecar and displaying it in real-time. In my final season, I led the Telemetry/DAQ subteam. We created a web experience for team members to plot data from the car in real-time with Python. In my final season, the system contributed significantly to a 10/10 score from design judges at the Formula SAE competition for the team’s LV/DAQ system.
Skills Developed



August 2024 - July 2024
Background Information
Description
Code for Good is a student organization @ MIT that pairs MIT students with local nonprofit organizations to provide advice and help with technical matters. During my semester with the club, my team and I worked with YouthBuild Boston, a local nonprofit organization focused on "providing under-resourced young people with the support and credentials needed to successfully enter the construction and design industry". The organization wanted a way to have their projects overlaid on a map that could show different statistics about neighborhoods in the Boston area and historical redlining practices. They also wanted to be able to update the map easily so we linked the website to a Google Sheet they could easily update.
Skills Developed
Website

August 2023 - Present
Background Information
Description
The Student Information Processing Board (SIPB), MIT’s first computer club, circa 1969, is "MIT’s volunteer student computing group, improving computing at MIT since 1969. Today, SIPB projects provide innovative services and special expertise to the MIT community." Some of SIPB’s projects are Hydrant, CourseRoad, and the project I work on, DormSoup. DormSoup is a web calendar service that utilizes LLMs to parse student event emails and displays them in a simple monthly view. Before my sophomore year, SIPB managed a project known as Dormdigest which had a similar purpose to DormSoup but didn’t utilize LLMs. In my sophomore year, DormSoup (which was being managed by other non-SIPB students) took Dormdigest’s place. I helped lead team meetings and contributed significantly to DormSoup’s switch from using OpenAI’s API to utilizing SIPB’s self-hosted open-source models. As of the end of my sophomore year, I officially took over as the project lead.
Skills Developed
Projects

Learn more about my first web development project.

Learn about some small ML projects I've built for fun.

More about the AAA style RPG I am working on.

June 2024 - Present
Background Information
Description
I've always thought that building a 3D game would be a very fun, educational, and challenging project. So, in the summer of my freshman year I began to work on creating a AAA style RPG with a friend of mine. While working on the game I develop skills with C++ and practice my creativity.
Skills Developed

January 2024
Background Information
Description
During web.lab, a month-long course and competition at MIT held between the fall and spring semesters, I collaborated with two teammates to develop scrapTrip—a web application that enables users to create virtual scrapbooks (“scraps”), connect with others, and generate travel itineraries using the Mobi API. This project marked my introduction to web development, providing hands-on experience as I built the site from the ground up.
Skills Developed

May 2025 - Present
Background Information
Description
After taking the Intro to Machine Learning course @ MIT, I wanted to do some small projects to discover topics not mentioned in class, deepen my understanding of some topics, and have some fun! So far, I've done small projects on classification with CNNs, image generation with GANs, and style transfer. I plan to continue to do more small, fun projects in my free time.
Skills Developed
Experiences
Experiences

Learn more about my work to develop data-driven and hybrid models to predict Area Control Error in power systems.

Learn more about my social impact work with the Cherokee Nation through the MIT PKG Public Service Center.

June 2025 - Present
Background Information
Description
Code.Tulsa is an initiative by the MIT PKG Center that empowers MIT students to support marginalized communities in Tulsa through impactful internships with Native nations and local nonprofits. I am currently collaborating with the Cherokee Nation, the largest tribe in the United States, representing over 450,000 citizens worldwide. My work focuses on developing an AI-powered search engine and legal assistant to help lawmakers, judges, prosecutors, and other stakeholders efficiently research Cherokee law. In the near future, I will also contribute to digitizing the tribe’s registration process, further streamlining the process for individuals to acquire Cherokee citizenship.
Skills Developed

June 2024 - August 2024
Background Information
Description
During the summer following my first year at MIT, I participated in my first UROP, focusing on the development and writing of a research paper exploring hybrid and data-driven LSTM models for predicting Area Control Error (ACE) in power systems. These models demonstrated marginal improvements in certain metrics compared to the existing predictive mechanistic models currently used for ACE forecasting.