Madeline Baltzer
About Madeline Baltzer
Madeline Baltzer is a Software Engineer specializing in Machine Learning, with a Bachelor of Science in Physics from Wheaton College and a Master of Science in Computer Science with a focus on Artificial Intelligence from the University of Nebraska at Omaha. She has experience in improving engineering processes, managing interns, and developing machine learning infrastructure.
Work at DefenseStorm
Madeline Baltzer currently serves as a Software Engineer specializing in Machine Learning at DefenseStorm. She has been with the company since 2022, contributing her expertise in developing and implementing machine learning solutions. Her role involves managing interns, where she selects meaningful work, supports onboarding, and offers mentorship. This position allows her to apply her technical skills in a collaborative environment focused on enhancing cybersecurity solutions.
Education and Expertise
Madeline Baltzer holds a Bachelor of Science in Physics from Wheaton College, where she studied from 2012 to 2016. She later pursued a Master of Science in Computer Science with an emphasis on Artificial Intelligence at the University of Nebraska at Omaha, completing her studies from 2019 to 2022. Her educational background equips her with a strong foundation in both theoretical and practical aspects of technology and machine learning.
Background
Before her current role, Madeline Baltzer worked as a Solutions Analyst at LRW-CX for seven months in 2017, based in Los Angeles. She also gained research experience as a Research Assistant at Wheaton College from 2014 to 2016 and at UCLA for two months in 2015. These positions helped her develop skills in research methodologies and team collaboration.
Achievements in Engineering and AI
Madeline Baltzer has contributed to various engineering initiatives, including organizing an engineering-wide generative AI hackathon. She has improved the Apache Airflow environment by implementing CI/CD practices, upgrading the system, adding monitoring capabilities, and refactoring pipeline code. Additionally, she has created and updated AWS infrastructure for machine learning pipelines and services using Infrastructure as Code tools like Terraform and Terragrunt.
Team Development and Processes
In her roles, Madeline Baltzer has encouraged the development of team processes focused on design discussions, code review, and task management. Her efforts in fostering effective communication and collaboration within teams have contributed to improved workflow and project outcomes.