Greetings, I'm Andrew Ellender

Software Engineer & Information Technologist

"But as for you, be strong and do not give up, for your work will be rewarded." - 2 Chronicles 15:7

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Andrew Ellender's face

Welcome to My World

A glimpse into my journey and passion for technology.

Hey there! I'm Andrew Ellender, a software engineer and IT specialist born and raised in Louisiana. My journey into technology started at Louisiana State University , where I earned my degree in Computer Science (Software Engineering), diving deep into coding, database management, and cybersecurity.

Throughout college, I worked on various projects—from open-source software to cloud-based applications—developing a passion for creating scalable and efficient systems. After graduating, I began my professional career in IT, managing networks, servers, and security infrastructure.

Now, I work at Louisiana Pigment, where I manage enterprise software, optimize server and network performance, and develop and deploy ASP.NET applications to enhance business operations. I thrive on building technology that makes a difference, whether it's streamlining workflows, securing critical data, or improving IT infrastructure.

When I’m not coding or managing systems, you’ll find me working on open-source projects, deploying Docker containers, or exploring emerging tech. Outside of work, I enjoy gaming, watching movies, staying active, and keeping up with the stock market.

Let’s build something awesome together!

Resume

Below is a brief summary of my education and work experience. For more details, please download my full resume.

Bachelor's Degree in Computer Science (Software Engineering) – Louisiana State University

08/2019 – 05/2023

GPA: 3.55

System Engineer at National Networks

12/2023 – 04/2024

  • Managed Windows servers, including user management, permissions, DHCP, and DNS.
  • Implemented backup and recovery solutions for data integrity and operational continuity.
  • Provided comprehensive software and hardware support to clients.
  • Handled networking tasks to ensure optimal connectivity and performance.
  • Administered Microsoft 365 services to maintain smooth operations and accessibility.
  • Strengthened cybersecurity by monitoring and mitigating threats such as phishing, remote access, and malware.

Information Technology Specialist at Louisiana Pigment

04/2024 – Present

  • Oversee the design, implementation, and maintenance of databases to ensure optimal performance and security.
  • Handle the configuration and maintenance of network switches for seamless communication and data transfer.
  • Manage and update software systems to meet company needs and industry standards.
  • Administer and maintain servers to ensure reliable and efficient operation.
  • Develop ASP.NET applications for plant operations, including tracking events, maintenance, and CO₂ levels.

Skills

Here are some of the key technologies and tools I work with:

C# / .NET

HTML

CSS

JavaScript

React

Node.js

SQL / MySQL

Firebase

Cybersecurity

Windows Server

Microsoft 365

Git

Python

Java

AWS

Azure

Linux

Docker

React Native

Google Cloud

Projects

A showcase of some projects I've worked on:

Nexus Music (Work in Progress)

A self-hosted music streaming platform that empowers users to manage and stream their music collections. Featuring a Go-powered backend, a React-based admin dashboard, and a React Native mobile app, all containerized with Docker for seamless deployment. In Development.

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DES Encryption and Decryption

A Java program that implements the Data Encryption Standard (DES) algorithm for secure encryption and decryption. Features include XOR operations on binary strings, key generation, and 16 rounds of encryption/decryption.

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Exchango Currency Converter

A dynamic, real-time currency converter featuring smooth animations and a responsive design. Built with HTML5, Tailwind CSS, and Vanilla JavaScript, it retrieves up-to-date exchange rates from an API and offers an interactive user interface.

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Live Demo

Stock Market Predictor

A machine learning project developed with Python and TensorFlow that predicts stock prices using a Kaggle dataset. The model computes the mean squared error (MSE) to evaluate prediction accuracy, providing insights into market trends.

View Project

Contact

Have questions or want to work together? Fill out the form below or send me an email.