Angel Velasquez

Full Stack Software Engineer

About

I'm a Swiss Army knife of software development with professional experience in developing virtual reality games, full-stack development, and teaching.

I have a strong background in machine learning which goes along with my data-driven approach to development to create the best product for the client and users.

Experience

Full-Stack Software Engineer

May 2025 — Present
  • Created a vendor payout interface with TypeScript and React, integrating Stripe, allowing admins to review and manually adjust automated payouts.
  • Developed a customer messaging system using React Native, PostgreSQL and Go, deployed on AWS (EC2), allowing mobile and web users to communicate in real time.
  • Built a GitHub Actions CI/CD pipeline to deploy microservices as Docker containers, enabling a cross-functional team to ship features faster with instant rollbacks.
  • Developed a database migration tool with C# .NET, GitHub Actions CI/CD pipeline and Docker, preventing production failures caused by missing database migrations.
TypeScript React Go PostgreSQL C# Docker AWS Stripe React Native

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Projects

Screenshot of The Bias Post web application showing media bias classification.

The Bias Post

Fine-tuned DistilBERT end-to-end classifer with chunked attention for media bias classification. Wrapped the model around a Next.js product while using LLM for label enhancement and storing results on Supabase.

Graphical representation of water quality data analysis for Southern Utah.

Multivariate Analysis of Southern Utah Water Quality

Research project that utilizes principal component analysis to explore Southern Utah water trends and measure feature importance.

Interface of Lyric-Luminary application for song genre classification.

Lyric-Luminary(v2)

This is a fun project that aims to view lyrics via the lens of a text classification model. I'm experimenting with TF-IDF to classify songs into a genere via the lyrics of the song.

Screenshot of Godot game engine interface with a cat being classified by a neural network.

Godot Image Classification

Use a pre-trained convolutional neural network to make in game predictions! Take screenshots of the game and classify if a cat or dog is in the scene with the power of machine learning.

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