My professional interests are in the fields of full-stack software development, ML/AI engineering, systems software, and cybersecurity. I have a broad set of technical knowledge and I love solving problems and designing systems. I'm a team player and am good at breaking down complex concepts for others. In my free time, I enjoy video games, anime/manga, tabletop RPGs, language learning, cooking, and digital art.
Python; C#; TypeScript/JavaScript; SQL; Java; C++; HTML; CSS; Bash
.NET; Spring; React; Node.js; FastAPI; SQL databases (MySQL, PostgreSQL, SQL Server); NoSQL databases (MongoDB, DynamoDB); Linux; Docker; Nginx; Terraform; Redis; Spark; Databricks; PyTorch; Tensorflow; Electron; Express; Flask; Git; Postman; Jira; Confluence; Miro
AWS (S3, EC2, ECS, ECR, Lambda, EventBridge, RDS, DynamoDB, SageMaker); Microsoft Azure (App Service, SQL Database, DevOps, Data Factory)
CompTIA Security+
Led team’s integration work, representing the team in regular cross-team meetings on requirements gathering, QA testing, and user journey with 20+ developers, BAs, project-level managers, and business stakeholders.
Designed and developed the core algorithm for an LLM-powered web scraper, achieving a highly performant 98.7% base accuracy and cutting existing data scraping costs by 97%.
Built out RESTful API endpoints and extensible object-oriented systems for backend microservices using C#/.NET and Python/FastAPI.
Rearchitected a frontend React application in TypeScript to enhance UI scalability and modularization.
Designed and implemented an event-driven cloud architecture for cross-system integration using AWS EventBridge, Lambda, ECS, S3, & Terraform.
Optimized Docker image build times by >90% and developed CI/CD pipelines in GitLab.
Integrated backend REST APIs with Databricks Unity Catalog using Spark and Databricks SQL.
Built a full-stack web application using Java/Spring Boot, PostgreSQL, and JavaScript/React.
Increased developer efficiency by 25% by creating an admin console using C#/.NET.
Integrated an ASP.NET Core Razor Pages application with ~6 serverless Azure Functions.
Wrote unit tests for existing backend capabilities in C# using XUnit and Moq.
Developed a 24/7 hardware monitoring bot using Python and Netdata REST APIs.
Wrote Bash and Python scripts for spinning up Docker applications and reformatting CSV data.
Hosted 10+ public presentations on Linux, computer networking, cloud computing, VMs, containerization, CPU architectures, assembly languages, and operating systems.
Mentored coworkers in software development, Git, and Docker containers.
Minors: Mathematics & Cybersecurity
Honors Thesis: "The Effects of ML Architecture on Hybrid Meeting Speaker Detection Accuracy."
- Magna Cum Laude, Engineering Honors
- Texas A&M Cybersecurity Club Webmaster
- Red Hat Academy Student Ambassador
Here are a few of the personal projects I've worked on in my spare time.
Livestream Highlighter
A Google Chrome extension for analyzing and detecting trends in the live chats of YouTube livestreams.
Created with
Chrome Extensions API
JavaScript
CSS
Screen Translator
An Electron.js-based desktop application for automatically translating on-screen text.
Created with
Node.js
Electron.js
JavaScript, HTML, & CSS
Cloud Vision API
DeepL API
Autoregressive FFNN
A continuously learning Discord bot that uses a feedforward neural network to predict your decisions based on user data.
Created with
Python
pandas
scikit-learn
discord.py
Containerized Cloud App
A containerized Python + Flask application deployed to AWS with a CI/CD pipeline.
Created with
Docker
AWS (EC2, ELB, S3, CloudFront, ECS, ECR, Elastic Beanstalk, CodeBuild, CodePipeline)
Python + Flask
For any business inquiries, feel free to contact me at the email address listed above.