Joshua GracieCybersecurity engineer with
4 years of experience
in software development as well as training in cybersecurity throughSecurity+
and on-the-job training. Experienced with security product assessments, machine learning, genetic algorithms, and full stack web development. Also experienced with in-depth research through advanced study during my Master's Thesis.
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 to 2022 at the University of Central Florida, Orlando, Florida
Bachelor's in Computer Science
2017 to 2021 at the University of Central Florida, Orlando, Florida
Minor in Business Administration
2017 to 2021 at the University of Central Florida, Orlando, Florida
Cybersecurity Engineer at Lockheed Martin
From 2023 at Lockheed Martin, Orlando, FloridaExecuted product assessments for outside COTS and FOSS software to be used accross the company and assisted in identifying and mitigating related risks according to CIS security policy. Also perform security engagements to securley standup new systems at the company.
Cybersecurity Engineering Associate at Lockheed Martin
From 2022 to 2023 at Lockheed Martin, Orlando, FloridaExecuted product assessments for outside COTS and FOSS software to be used accross the company and assisted in identifying and mitigating related risks according to CIS security policy.
CWEP at Lockheed Martin
From 2019 to 2022 at Lockheed Martin MFC, Orlando, FloridaDesigned 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
From 2017 to 2017 at Florida Blue, Jacksonville, FloridaServed 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.
J. Gracie, “Leveraging human-centered insights and vision transformers to understand and detect online risks in teens' private social media conversations on Instagram,” STARS. [Online]. Available: https://stars.library.ucf.edu/etd2020/1015/. [Accessed: 03-Nov-2022].
Ali, Shiza, et al. “Understanding the Digital Lives of Youth: Analyzing Media Shared within Safe versus Unsafe Private Conversations on Instagram.” CHI Conference on Human Factors in Computing Systems, 2022, https://doi.org/10.1145/3491102.3501969.
- Winner of the Spring 2021 UCF Senior Design Showcase in Computer Science for my Everglades Reinforcement Learning project.
- Cum Laude Honors in the Major for Computer Science (GPA: 3.814).
- Accepted to the UCF CECS accelerated BS to MS program.
- C#
- Python
- Javascript
- Java
- C
- VS Code
- Visual Studio
- Atom
- PyTorch
- SciKit Learn
- Tensorflow
- OpenCV
- .NET
- Streamlit
- React
- Astro
- SQL
- Openshift
- Kubernetes
- Azure
- Firebase
