About Me

Entering a flow state drives my passion for software engineering. In a competitive tech industry, standing out is essential—what sets me apart is my ability to maintain deep focus and thrive on the challenge of solving complex problems.

I initially pursued software engineering at Stevens Institute of Technology, but after realizing it closely aligned with my previous studies at Florida State University, I made a bold switch to cybersecurity in February 2024. However, I have since recognized that my true passion lies in software engineering, leading me to return to this field. This renewed focus allows me to consistently reach that state of deep concentration and flow, pushing me to innovate and sharpen my skills. I’m excited about the future and the dynamic challenges that software engineering presents.

Hey, I'm Laura Allison Obermaier

Masters Student | Full-Stack Developer | Possible future colleague
Stevens Institute of Technology '25 | Florida State University '23
MS in Software Engineering, Graduate Certificate in Machine Learning, & Graduate Certificate in Cyber Security (4.0 GPA)
BS in Computer Science (3.97 GPA, Honors Program, President's List, & Dean's List)
Research Assistant under Dr. Jonathan Adams - Undergraduate Research Opportunity Program
Looking for Software Engineering, Cyber Security, & Machine Learning Internships for Spring, Summer, and/or Fall 2025

Combined Models ML

Jupyter Notebook, Python, Pandas, Scikit-learn, Matplotlib, SMOTE, Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, Stacking Classifier

Application Overview

This project involved implementing multiple machine learning models and combining them using a stacking ensemble technique. A variety of classifiers, including Logistic Regression, Decision Trees, Random Forests, and Gradient Boosting, were stacked to improve accuracy. The notebook also includes bias-variance decomposition to evaluate model performance, with visuals showcasing trade-offs between bias and variance, as well as model accuracy. The best model combination, Logistic Regression with Random Forest Classifier, achieved a mean accuracy of 98.66% with a Bias^2 + Variance value of 0.5. The project culminates in predicting bankruptcy cases and submitting results in CSV format.

Code Snippet 1/7

For a comprehensive demonstration of the development skills utilized in this project, please visit the project repository. These code snippets offer a glimpse into the various capabilities employed throughout the project.

Dataset Import and Scaling

In this step, the dataset is loaded using Pandas, and features are extracted. A StandardScaler is applied to normalize the data for better model performance.

Hacker News Web Application

Python, HTML5, CSS, JSON, SQLite, Auth0, Nginx, Gunicorn, Linode, Lynis

Application Overview

The HackerNews Flask application provides a robust and secure platform for delivering the latest news from the Hacker News website, updated hourly. Utilizing nginx and gunicorn for its configuration and SQLite for data management, it offers a streamlined user experience with features like pagination, and user interaction through likes and dislikes for logged-in users. Authentication is managed via Auth0, enabling users to sign in with Google. The application includes several functional routes, such as a profile view for account information and an admin interface for managing user roles. Continuous updates and user interactions are facilitated on a cleanly designed interface, ensuring that users remain engaged and informed.

Law Practice Manager Web App

C#, XML, JSON, .NET MAUI, Context Factory, DTOs, REST APIs, MVVM

Application Overview

This comprehensive web application offers robust law firm management tools, facilitating efficient handling of clients, projects, and staff. It supports full CRUD operations and features advanced utilities like a windowed timer, mass-billing capabilities, customizable interface options, and secure data deletion protocols.

My Notes Mobile Application

Java, XML, Android SDK, Room DB, MVVM, LiveData, Androidn Nav Component, Fragments, Navigation Graph, Recycler View, Data Passing with Bundles

Application Overview

This Android application provides comprehensive note management and customization features. Users can adjust text color, background color, font size, and text alignment. It supports saving, deleting, and undoing changes to notes, which can be displayed individually or in a card/recycle view format.

ProFessUp Web Application

JavaScript, HTML5, CSS, React, node.js, MongoDB

Application Overview

ProFessUp is a platform modeled after Rate My Professor, designed to facilitate CRUD operations for professors, reviews, courses, and user profiles. The application enables users to efficiently search for professors and filter reviews by course. It presents professor profiles and reviews in a card-based layout, utilizing sliders, drop-down menus, buttons, and checkboxes to enhance usability and comprehension. The interface employs a user-friendly color scheme to optimize the user experience. Due to the deletion of the MongoDB, note functionality is demonstrated exclusively through video in this portfolio project.

FAT32 Filesystem

C, FAT32 Filesystem Management, Systems Programming

Program Overview

This program facilitates the manipulation of FAT32 images through a shell-like interface, supporting commands such as ls, cd, mkdir, creat, open, close, read, append, lseek, lsof, rm, and rm -r.

Shell

C, Shell Programming, Systems Programming

Program Overview

This program is designed to simulate a shell environment. It incorporates a comprehensive set of functionalities, including both internal and external command processing, as well as the capability to execute an external program. These features collectively emulate the typical operations of a conventional shell.

Elevator Kernel Module

C, Kernel Programming, Systems Programming

Program Overview

This program utilizes an advanced elevator scheduling algorithm that interfaces seamlessly with a custom kernel module. It incorporates system calls, efficient scheduling techniques, kernel operations, mutexes/locks, and multithreading to optimize performance and ensure robust system integration.

Contact Me

About Me

Hey, I'm Laura Allison Obermaier

Combined Models ML

Application Overview

Code Snippet 1/7

Dataset Import and Scaling

Code Snippet 2/7

Handling Class Imbalance

Code Snippet 3/7

Bias^2 and Variance Computation

Code Snippet 4/7

Model Combination and Evaluation 1/2

Code Snippet 5/7

Model Combination and Evaluation 2/2

Code Snippet 6/7

Results Visuals (Bias-Variance Plot)

Code Snippet 7/7

Results Visuals (Accuracy Plot)

Hacker News Web Application

Application Overview

Likes and Dislikes

Sorting and Pagination

Automatic Updates

Admin Permissions

User Login

User Account

Sidebar

Code Snippets 1/3

Code Snippets 2/3

Code Snippets 3/3

Law Practice Manager Web App

Application Overview

Navigation

Employee Management 1/2

Employee Management 2/2

Client Management 1/2

Client Management 2/2

Project Management 1/2

Project Management 2/2

Time Management 1/2

Time Management 2/2

Bill Management 1/4

Bill Management 2/4

Bill Management 3/4

Bill Management 4/4

Searching

Windowed Timer

Code Snippet 1/5

Code Snippet 2/5

Code Snippet 3/5

Code Snippet 4/5

Code Snippet 5/5

My Notes Mobile Application

Application Overview

Note Details

Color Selection

Font Size

Text Alignment

Scrolling and Note Overview

Code Snippet 1/3

Code Snippet 2/3

Code Snippet 3/3

ProFessUp Web Application

Application Overview

Code Snippet 1/2

Code Snippet 2/2

FAT32 Filesystem

Program Overview

Mount Image

Changing Directory and Making a File

Making a Directory

Remove and Recursive Remove

File Operations 1/2

File Operations 2/2

Get Info and Exit

Code Snippet 1/6

Code Snippet 2/6

Code Snippet 3/6

Code Snippet 4/6

Code Snippet 5/6