Eduardo Ceballos

BS in Computer Science

August 2021 - Present

Relevant Coursework

• Applied Data Structures
• Computer Organization
• Databases
• Advanced Object Oriented Programming
• Machine Learning
• Discrete Structures
• Software Development Studio
• Automata
• Computer Programming
• Programming Languages

Computer Science Department at UTEP

Aug 2024 - Present

El Paso, Texas

Undergraduate Instructional Assistant

• Assist over 110 students as an Instructional Assistant for Advanced Object-Oriented Programming providing personalized guidance and enhancing understanding of complex concepts.
• Evaluate assignments, deliver constructive feedback, and lead customized study sessions.

Software Engineer at Goldman Sachs

June 2024 - Present

Dallas, Texas

Intern

• Constructed an application with AWS CDK using TypeScript to connect Lambda functions over a WebSocket protocol to allowH real-time communication between server and clients ensuring a low latency on messages.
• Aided clients to onboard into AWS Api Gateway V2 WebSocket service in the cloud, ensuring compliance with organization securities policies such as SSL/TLS calls along with S3 Bucket for logging and employing load balancers to redirect client's traffic to servers.

Tech Exchange Program at Google

January 2024 - May 2024

San Francisco, California

Cohort

• Implemented data structures in coding problems using Python, ensuring optimal time complexity and making the code as efficient as possible.
• Prepared mock interviews to apply and explain knowledge of Applied Data Structures effectively during interview interactions.

Software Engineer at Gedoop

May 2023 - August 2023

El Paso, Texas

Intern

• Developed an application using SwiftUI and Amazon AWS that provides an intuitive user interface to manage and monitor a device's lighting sensors through augmented reality (AR).
• Applied and created multiple APIs using Linux to manage the WebSocket (Coral Device Board) and connect it to the mobile application.

MasterChef App

January 2024 - April 2024

Atlanta, Georgia

Team Member

• Builted an application in CloudShell-Streamlit using Python to generate cooking recipes based on available household ingredients.
• Executed API calls to GenAI, administered the database with BigQuery, and implemented Figma designs for a seamless user experience.

App link:

https://mywebappservice-dgasx36rwq-wl.a.run.app/

App Repository:

https://github.com/EddieHiram/MasterChef-Project/tree/main

Omok Game

January 2024 - May 2024

El Paso, Texas

Team Member

• Developed the Omok game in Haskell and Dart, designed for local terminal execution.
• Implemented the Model-View-Controller (MVC) architecture to manage game logic and user interaction efficiently.

Games Repository:

https://github.com/EddieHiram/Omok-Games

Bloomberg Tech Lab Fellow

April 2024

El Paso, Texas

Team Member

• Collaborated with Bloomberg engineers in a small group setting to build an application using RabbitMQ and Docker.
• Utilized Python to design and implement a robust message queue system using RabbitMQ, enhancing real-time data processing and communication between producer and consumer components.
• Developed a deeper understand of core Python/CS concepts (Classes, Inheritence, OOP), as well as financial domain knowledge (Tickers, Industry Sectors).

Linkedln Post Link:

https://www.linkedin.com/feed/update/urn:li:activity:7189013272719679489/

Expense Tracker App

May 2023 - Aug 2023

El Paso, Texas

Intern

• Shaped and developed “Expense Tracker”, an iOS application built using Swift UI, allowing users to maintain a comprehensive record of their personal expenses.
• Applied data entry functionality to enable users to log their daily expenses with specific details such as category, date, and description.

Heart Disease Prediction

October 2022 - December 2022

El Paso, Texas

Team Member

• Engineered a Python-powered machine to predict an individual's heart disease susceptibility using a pre-selected database.
• Orchestrated a 4-member oral presentation highlighting medical innovation to integrate machine learning with physiological development.

Languages and Databases

Frameworks

Tools