Lucas Tembras

• Constructed REST-API endpoint using Express to store data to a Firebase collection to later be utilized by the Firestore Trigger Email extension. Creating a functioning, custom email form submission system. • Developed gallery page for blog posts on the website, complete with an infinite scroll mechanism to load past articles and categorical sorting. • Delivered website using React.js for our client Disney to showcase research report done on electric vehicles.

Tasked with leading a team of 3-4 developers to create and manage a Discord bot (Tito the SHPEbot) for the 250+ members of the SHPE UF Discord channel. Responsibilities include: • Creating educational / structural materials for scripting team • Creating a semi-functional demo of the new Discord bot's features • Leveraging AGILE methodologies to ensure timely delivery of code • Leading bi-weekly scripting team meetings • Aiding members with troubleshooting and questions • Promoting an inclusive scripting team environment • Helping facilitate the addition of the following features: discord server moderation, formatting and sharing SHPE UF resources, event announcements, and general body meeting slide deck summarization.

SHPEWorks are a series of workshops intended to increase technical awareness. These workshops can explore various computer, electrical, and mechanical engineering principles. SHPEWorks Directors are responsible for researching the content of the workshops, as well as planning and hosting them.

Agent Log Pipelines 📈 • Implemented an experimental checksum fingerprinting feature to help improve log rotation and truncation detection on cloud and containerized environments • Worked on an open source fluent-bit plugin for increased compatibility with the Datadog platform

• Implemented enhanced service error reporting on Max web platform to minimize confusion between client and server errors. • Developed proof of concept schema authoring tool to reduce manual workflow needed to get schema request from different teams into client repositories.

• Investigated the current state of secure containers and potential avenues for improvement to best suit the security demands of the Department of Defense • Recorded Docker container creation and start times as a baseline metric to assess the performance of secure container technologies using Golang • Performed a vulnerability analysis by automating an exploit in a sandbox environment using Python, Bash, Docker, and Kubernetes • Presented to and discussed findings with representatives of the Department of Education and branch chiefs of the Air Force Research Laboratory

Hosted 60-90 minute sessions for MAC1147, CHM1025, and CHM1045 throughout the semester to improve students' understanding of the material and provided support as a tutor in the Math Lab at the Wolfson Campus

• Developed a machine learning model capable of diagnosing Alzheimer’s in brain MRI scans • Utilized JupyterNotebook, NumPy, TensorFlow, and the YOLO Image Segmentation Model in conjunction with the OASIS-2 data set to train the machine learning model • Labeled 200+ images of the MRI brain scans present within the OASIS-2: Longitudinal MRI Data in Nondemented and Demented Older Adults data set