Austin John Email and Phone Number

Software Engineer and Data Analysis on NASA's Support for Atmospheres, Modeling, and Data Assimilation (SAMDA) contract.- Developed and maintained applications for data analysis and visualization in Earth Sciences, utilizing a diverse programming toolkit including Fortran, C, C++, and Python.- Worked with HDF5 and NetCDF for efficient data storage and retrieval processes, significantly improving data handling capabilities for large-scale environmental data sets.- Designed and executed sophisticated data analysis pipelines using Python, enabling the extraction of actionable insights from complex Earth Sciences datasets.

- Provided support, graded projects and exams of students taking Computer Science II (C++).- Brainstormed with my peers to make new projects for students.- Assisted students in debugging their projects with tools like GDB and Valgrind to find memory leaks and errors with their program.- Gained valuable experience in understanding new codebases through reverse engineering.

• Gained technical and project based skills in coding and AI on topics including data sourcing, organizing, visualization, implementation,and evaluation.• Investigated ethical implications related to data processing and AI implementation.• Collaborated with peers on building a program that uses a combination of classifiers (MLP, NB, LR) to predict if a patient has Cardiovascular Disease and/or Diabetes.• Earned an Apply AI Certificate of Completion

AI4ALL - UMBC• Learned about fundamental technical concepts of AI including types of machine learning, gradient descent and neural networks.• Investigated ethical implications related to data processing and AI implementation.• Collaborated with peers on building a Deep Q Network model to teach a lunar lander (OpenAI Gym) to land successfully in a landingzone; utilized Keras’ DQN model to land the lunar lander.• Earned a Discover AI Certificate of Completion.