Who I am?
I'm Jorge and I'm obsessed with building phenomenal digital experiences. Originally from Downtown Los Angeles, I'm currently studying computer science at UC Riverside. Welcome to my corner of the internet, where I share what I'm up to and what I'm learning.
Sept 2020 - June 2024
B.S. in Computer Science
University of California, Riverside
Relvevant Coursework:
Introduction to Artificial Intelligence, C++ Programming I-III, Compiler Design, Computer Graphics, Computer Networks, Data Structures & Algorithms, Edge Computing, Information Retrieval, Introduction to Software Engineering, Introduction to Big Data Manegement, Database Management, Machine Learning & Data Mining, Software Construction, Software Testing & Verification
Sept 2024
Incoming Software Engineer
Amazon
Tools:
Java Probably
Responsibilities:
Starting in AWS Builder Tools In Seattle.
(March 2022 - Present)
Undergraduate Machine Learning Assistant
Machine Learning @ UCR
Tools:
Python
Responsibilities:
Tested Region-based Convolutional Neural Network models for object detection in Python under the supervision of Professor Chen in the Computer Science Engineering Department.
(Jun 2023 - Sept 2023)
Software Development Engineer Intern
Amazon
Tools:
Java, JUnit, Mockito
Responsibilities:
Worked On Amazon Astro @ Lab126. Integrated AWS services into Amazon Astro’s SDK, facilitating advanced app development and enhancing platform capabilities.Implemented a feature for inter-library command execution, boosting code integration for 50+ teams and increasing code readability by 30%. Led end-to-end testing with JUnit and Mockito, ensuring the reliability and performance of new features. Directly improving the quality of the final product delivered to developers.Authored detailed documentation on project requirements and design specifications, laying a foundational framework for future enhancements and iterations.
Mixtape
constproject={name:'Mixtape',tools: ['React', 'Material UI', 'OpenAI API', 'Python', 'Typescript', 'Fast API],Description: Developed a full-stack web application utilizing Spotify’s API to allow users to discover new music and quickly create new Spotify playlists using songs they love. Designed a Rest API using FastAPI to store data from Spotify API.,};Scribe
constproject={name:'Scribe',tools: ['JavaScript', 'DiscordJS', 'MongoDB],Description: Implemented a scheduling bot using JavaScript where users can schedule meetings or events within Discord.
Designed and developed a MongoDB database for users to keep track of their previous and upcoming events.,};Kendrick Lamar Facial Recognition
constproject={name:'Kendrick Lamar Facial Recognition',tools: ['Python', 'OpenCV],Description: Leveraged ML libraries to build an AI in Python that can perform facial recognition on Kendrick Lamar’s face in a music video.
Performed video and image processing using OpenCV to extract human faces in images and render SVM prediction overlays on the faces.,};