Alex Gundrum

Computer Science Master’s student specializing in AI/ML and backend development. Experienced in fine-tuning large language models, building computer vision pipelines, and designing RESTful APIs and microservices to deliver robust, production-ready applications.

Skills

A categorized view of my skill set

Languages

Python

C++

Java

SQL

JavaScript

HTML

CSS

AI/ML

TensorFlow

PyTorch

YOLO

OpenCV

Hugging Face

NumPy

Pandas

LangChain

LangGraph

Backend & Cloud

Flask

Node.js

Next.js

React.js

SQLite

Firebase

REST APIs

AWS

Azure

Developer Tools

Git/GitHub

Linux

Docker

Bash

CMake

Jira

CI/CD

Test Automation

Unit Testing

Concepts

Large Language Models

Retrieval-Augmented Generation

Computer Vision

OOP

Version Control

Debugging

Experience

My professional journey in the tech industry

Phifer Inc.

Software Engineering Intern

August 2025 – Present

Tuscaloosa, Alabama

Spearheaded AI innovation by building and fine-tuning local large language models to enhance internal knowledge retrieval and synthesis.

Key Accomplishments:

Created a RAG pipeline with LangChain, LangGraph, and ChromaDB to improve knowledge retrieval and synthesis
Fine-tuned a local LLM with Ollama using synthetic training data, achieving 0.0001 loss and reducing hallucinations

Technologies Used:

LangChain
LangGraph
ChromaDB
Ollama
Local LLMs
Python
RAG (Retrieval-Augmented Generation)

AMEWAS, Inc.

Software Engineer Intern

June 2025 – August 2025

Patuxent River, MD

Engineered robust C++ and Bash automation solutions to streamline data inputs and guarantee production reliability for mission-critical systems.

Key Accomplishments:

Architected a C++ translation layer to standardize data inputs, ending integration conflicts between system modules
Automated configuration file aggregation with Bash scripting, cutting 15 minutes of manual effort per deployment
Guaranteed production reliability of the C++ engine by authoring a comprehensive test suite with Google Test (GTest)

Technologies Used:

CMake
Bash
Linux
XML

Digital Forensics and Control Systems Security Lab

Undergraduate Researcher

August 2023 – Present

Tuscaloosa, AL

Conducted advanced research in computer vision and traffic analysis, developing innovative systems that significantly improved data accuracy and real-time monitoring capabilities.

Key Accomplishments:

Orchestrated and implemented a real-time speed estimation system leveraging object detection and vanishing point analysis, achieving 94.3% accuracy and enhancing traffic condition monitoring.
Engineered a system combining object and edge detection to calculate vanishing points, converting 2D bounding boxes into accurate 3D and improving spatial accuracy by 28%.
Constructed a system to detect inhibited vehicles, facilitating free-flow speed analysis for accurate traffic metrics.
Formulated geometric transformations mapping vehicles to real-world coordinates for precise spatial data.

Technologies Used:

Python
OpenCV
YOLO
Computer Vision
Object Detection
Image Processing

Projects

A showcase of my technical projects and applications

Net Worth

Budget

MoneyTrees

Fintech hackathon winner

Awarded 1st Place, this AI-powered finance dashboard uses Flask, React, and OpenAI to deliver personalized financial advice and dynamic visualizations.

Handwritten Digit Classifier

Machine Learning, Computer Vision

Built a feedforward neural network from scratch in TensorFlow, achieving 95% accuracy on the MNIST dataset.

Animation Coming Soon