Cyber Operations Skills Development: Completed rigorous 36-week program of study in cyber operations with the U.S. Army, encompassing both Common Cyber Basic and Common Cyber Technical core programs. Fulfilled course requirements across subject concentrations, including operating systems, computer networks, scripting, protocol analysis, security, and offensive/defensive cyber operations. Learned skills that align with industry best practices in a dynamic field with continually evolving technology.Applied Technical Skills: Applied Bash scripting skills to develop malware. Conducted reverse engineering and exploitation. Performed vulnerability analysis of source code and assembly. Applied exploitation and exploitation mitigation techniques in simulated network environments. Participated in red teaming exercises to gain functional experience with reconnaissance, exploitation, and post-exploitation frameworks. Applied networking fundamentals at all OSI layers.Communication & Collaboration: Worked across and helped guide diverse teams. Collaborated effectively with colleagues to develop cohesive solutions to cyber scenarios of varying scope and complexity. Communicated technical and administrative information to all levels of personnel, both orally and in writing.Selected Accomplishments & Key Results:▪ Independently developed custom malware for virtual machine-based user lockout using Bash scripting language.▪ Achieved the highest Common Cyber Basic Core GPA among a cohort of 20 cyber operation specialists.

Systems Engineering Research: Collaborated with a team of three doctoral candidates on systems engineering for an autonomous vehicle localization system. Leveraged knowledge of best commercial and industrial technologies to advance research objectives. Researched emerging technologies to identify integration opportunities. Incorporated artificial intelligence tools into research, including Detectron2 which used a convolutional neural network.Data Management & Program Scripting: Completed project tasks involving large volumes of data, overcoming challenges by designing innovative solutions. Collected data using Python-based vehicle simulators. Wrote Python scripts for data collection and cleaning. Employed Computer Vision tools for image segmentation, including Detectron2. Worked with data-rich problems, implementing clustering algorithms for point cloud data analysis.Communication & Collaboration: Explained highly technical information to audiences with varying technical backgrounds. Prepared narrative and statistical reports of project performance, processes, and components. Forged positive professional relationships with internal and external stakeholders.Selected Accomplishments & Key Results:▪ Led the development of a key component of the project, Autowaze. Introduced context awareness to enhance localization system.▪ Co-authored project paper that was published in an industry conference.