Joshua GracieCybersecurity engineer with 4 years of experience in software development as well as training in cybersecurity through Security+, C|EH, and on-the-job training. Experienced with security product assessments and threat modeling, machine learning, genetic algorithms, and full stack web development.
Recently been learning about the Cloud, specifically AWS and Azure and am working towards attaining several cloud certifications. Also have a background in business and business administration providing increased knowledge and communications skills with other non-technical professionals.
Master's in Computer Science
2021 – 2022Bachelor's in Computer Science
2017 – 2021Minor in Business Administration
2017 – 2021Cybersecurity Engineer at Lockheed Martin
2023 – PresentLead product security assessments of COTS and FOSS software across the enterprise, driving risk identification and mitigation aligned to CIS security policy. Conduct security engagements to securely stand up new systems and infrastructure across the company.
Cybersecurity Engineering Associate at Lockheed Martin
2022 – 2023Executed product assessments of COTS and FOSS software to identify and mitigate security risks in accordance with CIS security policy.
Software Engineering Co-op at Lockheed Martin
2019 – 2022Designed and implemented improvements to the department website, developed macros for financial and personnel data sheets, and spearheaded web apps for teams across the company including: a web application to assist in contract planning using Blazor and Kubernetes, and a machine learning/data dashboard to assist with manufacturing tolerance analysis using Streamlit and Sci-Kit Learn.
Summer Intern at Florida Blue
Summer 2017Served on the IT Support Desk and collaborated with internal employees to solve IT related issues such as password failures, website/browser malfunctions, and computer upkeep.
Personal technical blog covering cybersecurity, software engineering, and computer science.
- Winner of the Spring 2021 UCF Senior Design Showcase in Computer Science for my Everglades Reinforcement Learning project.
- Graduated Magna Cum Laude, Computer Science (GPA: 3.814).
- Accepted to the UCF CECS accelerated BS to MS program.
- C#
- Python
- Javascript
- Java
- C
- VS Code
- Visual Studio
- PyTorch
- SciKit Learn
- Tensorflow
- OpenCV
- .NET
- Streamlit
- React
- Astro
- SQL
- Openshift
- Kubernetes
- Azure
- Firebase
