Alex M. Cooper Jr.
National Aeronautics and Space Administration (NASA)
1
Certification
1
year of professional experience
Agile and technical project leader experienced in delivering AI/ML, software, data, and emerging technology initiatives, including at NASA. Skilled in Scrum, cross-functional leadership, backlog management, stakeholder alignment, and delivery optimization, with a strong technical foundation in AI, cloud, and software development.
Work History
Jr. AI Scrum Master
7 Months- Enabled teams to incorporate AI-enabled workflow strategies into existing development processes while maintaining transparency, accountability, and delivery discipline.
- Coordinated cross-functional team activities to enhance communication and project delivery.
- Collaborated with product owners to prioritize backlog items and refine user stories.
- Facilitated Agile ceremonies, including daily stand-ups, sprint planning, and retrospectives.
- Reduced delivery cycle time through streamlined Scrum processes, improved backlog prioritization, and removal of cross-functional dependencies.
Software/System Engineering Intern
4 Months- Designed and implemented an automated end-to-end data processing pipeline for ingesting, analyzing, and visualizing Monte Carlo simulations.
- Designed and implemented a correction algorithm to enhance mass resolution by 70% compared to existing methods, improving analytical accuracy.
- Constructed detailed mathematical datasets, incorporating curve-fit parameters, to train a multi-layer perceptron neural network, currently undergoing proposal validation testing.
- Presented research to organizational leadership via PowerPoint and poster presentations for both technical and non-technical audiences.
Capstone Software Engineer
4 Months- Delivered an AI-driven image codec optimized for edge devices, compressing images to a bytestream 90% smaller than JPEG using containerized, cross-platform shell scripts and Docker; developed across Agile sprints.
- Designed and implemented a UDP-based data transfer protocol for binary file transmission supporting both static and real-time streaming across clean cloud environments.
AI Software Engineering Intern
2 Months- Developed and deployed an AI model for knowledge graph completion on a 100,000-node corpus of synthetic classified documents utilizing graph neural networks and transformer-based embeddings.
- Built a UI to streamline KG construction, modification, visualization, and completion, reducing analyst load by 75%; containerized the full product for cloud and on-device deployment.
- Presented research and results to interns, full-time employees, and executives on a national stage, placing in the top 10% of interns.
Education
Bachelor of Science - Computer Science, Minor in Applied Statistics
- Summa Cum Laude
- Honor Societies: Alpha-Alpha-Alpha, Upsilon-Pi-Epsilon
- GPA: 3.79
Skills
Languages: Python
JavaScript
C++
C
C#
Java
MATLAB
IDL
HTML
CSS
Angular
Libraries & Frameworks: scikit-learn
Matplotlib
networkX
FastAPI
React
Next.js
Node.js
Springboot
Tools & Platforms: AWS
Docker
Kubernetes
GitHub Actions
Terraform
Helm
CloudLab
Wireshark
SAS
SPSS
gdb
Oracle VirtualBox
Arduino IDE
Faciliation: Project management
Sprint planning
Agile best practices
Software development lifecycle
Kanban
Jira
Certification
- Project Management, NASA - 2026
- AI Specialist Practitioner, Booz Allen - 2025
- AI Engineer Practitioner, Booz Allen - 2025
Timeline
Software/System Engineering Intern
National Aeronautics and Space Administration (NASA)
01.2026 - 05.2026Read More
Jr. AI Scrum Master
National Aeronautics and Space Administration (NASA)
01.2026 - CurrentRead More
Capstone Software Engineer
Edge Optimized Image Codec
08.2025 - 12.2025Read More
AI Software Engineering Intern
Booz Allen Hamilton
06.2025 - 08.2025Read More
West Chester University of Pennsylvania
Bachelor of Science from Computer Science, Minor in Applied Statistics
Read More