About Me

I am a Computer Science and Digital Media student at Taylor University with a minor in Data Science. I’m passionate about building data-driven solutions that blend technology, sports, and human performance.

As an athlete and captain of the Women’s Soccer Team, I bring firsthand experience in sports performance and recovery, fueling my drive to innovate in wearable tech and sports analytics. Recently, I built an interactive WHOOP dashboard that explores how sleep, strain, and HRV affect recovery and performance; combining data science, machine learning, and interactive visualization.

My technical toolkit includes Python, R, JavaScript, HTML/CSS, Django, and frameworks like Streamlit and Jupyter Notebooks. I’m also experienced in full-stack development, web design, and digital media. These skills I developed through coursework and my role as a Jr. Course Designer at Taylor University Online.

This summer, I’m interning at Ardalyst on an AI-driven project focused on automating federal proposal analysis and response generation. The work involves benchmarking top large language models (including OpenAI’s GPT-4), prototyping secure AI workflows using low-code tools, and addressing data security challenges in AI systems. This role is sharpening my skills in prompt engineering, API automation, and security-first AI design.

When I’m not coding or on the field, you’ll find me outdoors fishing, hiking, or camping and I love country music and ice cream!

Projects

Internship @ Ardalyst : Automated Proposal Analysis & Response Generation

Currently developing a secure AI-powered system to automate proposal analysis and response generation. Gaining hands-on experience with LLM comparison, prompt engineering, and API automation using tools like n8n and LangChain. Emphasizing security-first design principles and thorough documentation of technical findings.
Status: Active internship (project in progress)
Tech: Python, LLMs, API automation, AI security.

WHOOP Wearable Recovery Dashboard

An interactive Streamlit dashboard analyzing sleep, strain, and HRV for athletic recovery.
Tech: Python, Streamlit, Jupyter.

Taylor University Registrar – Scheduling Web App

Partnered with a student team to design and build a Django web app that streamlines classroom scheduling and workload allocation for department chairs. Revamped the manual process to balance professor workloads and distribute class schedules fairly, saving countless hours. Contributed front-end pages with HTML/CSS using Django templates and coordinated dynamic features with SQL.
Tech: Django, SQL, Python, HTML, CSS, Agile.

Contact Me

If you’d like to connect, feel free to reach out:

• Email: brianna.rawlings@example.com
• LinkedIn: linkedin.com/in/brianna-rawlings
• GitHub: github.com/brianna-rawlings