Brayden Riesberg

Data Scientist @U.S. Army Engineer Research And Development Center Erdc

Champaign, IL, US

Creator and core developer of PySMS, a Python library within the Enterprise Sustainment Management System (E-SMS) ecosystem. In charge of design, unit testing, documentation— Awarded the \"James D. Prendergast Technology Transfer Achievement Award\" by CERL in 2024 for efforts in migrating the legacy BUILDER system to E-SMS— Involved in modernization and research efforts for the Department of Defense on robotics, Deep Neural Nets, LLMs, and AI— Designed and implemented facility maintenance optimization system for the Office of the Secretary of Defense in Python using PULP and PySMS. Deployed in Azure with a Streamlit front-end. — Utilize libraries such as Pytorch and Tensorflow to fine-tune Convolutional Neural Networks for facility component image classification— Research in computer vision tasks: zero-shot image classification via OpenAI\'s CLIP, object detection via YOLOv7— Retrieval Augmented Generation (RAG) with LangChain, LangGraph, and Llama for efficient domain-specific information retrieval and document summarization— Development in Python for facility financial investment optimization utilizing linear programming, statistical methods like the Weibull distribution, and DoD real property data to calculate component metrics— Development with the Robotic Operating System (ROS), contributing to research towards automated facility inspections— Dashboarding with Power BI and visualization with Seaborn and Matplotlib.

University of Illinois Urbana-Champaign

Bachelor's degree, Information sciences