CS Major @ Baylor
Security Operations Technician Intern @ Texas Farm Bureau
Motivated and detail-oriented Computer Science student with a strong background in IT and cybersecurity. Experienced in incident response, security monitoring, and log analysis to identify and reduce risks. Comfortable with documentation, automation, and system management, and skilled in building secure, scalable solutions using Microsoft Azure and Google Cloud. A quick learner who works well in team environments and thrives in fast-paced settings
Strong foundation in object-oriented programming, data structures, and memory management. Experienced in building modular applications, implementing algorithms, and debugging complex logic. Familiar with game development concepts, event-driven programming, and performance-aware design through academic and personal projects
Proficient in writing clean, efficient scripts for automation, data processing, and analysis. Experienced with problem-solving, basic machine learning workflows, and working with structured data. Comfortable using Python to prototype solutions, streamline tasks, and support analytical and technical projects
Experienced in deploying and managing virtual machines and cloud resources using Microsoft Azure and Google Cloud. Familiar with automating deployments, configuring secure environments, and integrating logging and monitoring to support reliability, scalability, and security
Experienced in managing users, groups, and access controls within Active Directory and CyberArk environments. Skilled in enforcing least-privilege access, securing service accounts, and administering servers to support secure operations. Familiar with optimizing SQL servers for reliable data aggregation while maintaining security and performance standards
Configured a Raspberry Pi 5 to run as a DNS adblocker for my network, as well as a DHCP server to provide internet to a few devices
Configured two Windows Server 2019 machines to run Active Directory to host machines and users
Built a PC with a 12 GB graphics card to host the Mistral 7B machine learning model
Set up a lab in VMware including two Kali Linux VM's, one Windows Server VM, and one client VM, to simulate pen-testing and incident response in real time