Miguel Mascareno

Recent graduate with dual Bachelor's degrees in Computer Science and Computer Engineering from UC Santa Cruz.

JavaScriptTypeScriptPythonReact.jsNext.jsNode.jsPostgreSQLDrizzle ORMNeon

Recent graduate with dual Bachelor's degrees in Computer Science and Computer Engineering from UC Santa Cruz.

Skills

Languages

JavaScriptTypeScriptPythonJavaHTMLCSSSQL

Frameworks & Libraries

React.jsNext.jsNode.jsExpress.jsTailwind CSSShadcn

Databases & ORMs

PostgreSQLDrizzle ORMNeonPrisma ORM

Tools & Technologies

DockerGitCI/CDClerk AuthJestMicroservicesRESTful APIsFederated Learning

AI & ML

OpenAI APIAnthropic APIEmbeddingsMachine LearningModel Training

Experience

Project Owner - Federated Learning Platform

AnyLog (University Partnership)

UC Santa Cruz

Feb 2025 - Jul 2025
DockerFederated LearningEdgelakeAPI DevelopmentProject Management
  • Served as Project Owner in a team of six students partnering with AnyLog to develop a Federated Learning Platform leveraging Edgelake
  • Enabled edge devices to locally train models on private local data and share only resulting model weights
  • Implemented API containerization options through Docker for simulating networks on single hosts
  • Coordinated team efforts to utilize each member's qualities and explore new concepts
  • Created Release Plans to synchronize tasks and align project goals with sponsor expectations

Projects

Project Image

RepIt

Served as Project Owner of a development logging site where users could note down their progress session by session. Leveraged the Anthropic API to allow users to query information about their progress without formatting every input. Textbox data gets read by the LLM which extracts meaning and provides users with colloquial explanations.

Next.jsReactTypeScriptTailwindShadcnClerk AuthDrizzle ORMPostgreSQLNeonAnthropic APIJest
Project Image

E-Commerce Website

Collaborated with a team of six to create an Amazon clone using microservice architecture for account services, product services, and API key services. Included an Admin page for account and product manipulation, a Shopper page with Amazon-inspired UI, and a Vendor App for product posting. Utilized Git for version control and CI/CD pipelines for automated testing.

DockerCI/CDGitAPIMicroservices
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Music Recommendation Model

Created a system that assigns weights to various data categories to create embeddings for each song. Varying weights allowed for multiple embeddings per song for testing and monitoring progress. Collaborated in a team of 5 to apply machine learning concepts creating a music recommendation system which rivaled Spotify results.

OpenAIEmbeddingsModel WeightsMachine LearningPython

Education

Computer Science B.S.

University of California, Santa Cruz

Santa Cruz, CA

2022 - 2025

Computer Engineering B.S.

University of California, Santa Cruz

Santa Cruz, CA

2022 - 2025

Get In Touch

I'm always open to discussing new opportunities and interesting projects.