Software engineer with a cybersecurity focus, active TS/SCI clearance, and a mission to build secure systems that matter.
I'm a Computer Science student at the University of Texas at San Antonio, specializing in the Cyber Operations track. My path into software engineering is grounded in real-world operational experience — as a U.S. Army National Guard Intelligence Systems Maintainer, I've developed a rigorous, mission-first mindset and earned an active TS/SCI clearance.
I've interned as a Software Development Engineer at Amazon, where I gained hands-on experience building production software at scale. My coursework spans systems programming, networking, reverse malware engineering, and secure software development — disciplines that align directly with the demands of defense technology.
I'm driven by the intersection of software engineering and national security. I build applications that emphasize reliability, security, and performance — from full-stack web platforms to low-level systems tools. I'm looking for opportunities where engineering excellence directly supports the mission.
TS/SCI cleared with military intelligence background, purpose-built for defense tech.
Cyber Operations track with coursework in reverse engineering, secure development, and network security.
Amazon SDE intern experience. Built SkinScan AI in 8 hours at a hackathon.
AI-powered skin condition detection app built in 8 hours at CodeQuantum hackathon. Uses a fine-tuned ResNet-18 CNN to classify acne, eczema, and healthy skin from uploaded images. React/Vite frontend, Flask backend, deployed on Vercel with Colab-hosted inference.
Multi-agent RAG platform for system reliability engineering. Built a structured troubleshooting agent that produces step-by-step diagnostic reasoning with hypotheses and evidence gathering. Implements embedding-based similarity search to detect recurring incidents, an LLM-powered report generator for root cause analysis, and an operational intelligence layer for proactive system reliability.
Production-grade AI-powered basketball coaching platform with personalized training plans that adapt to player age, skill level, and goals. Features an analytics engine providing AI-driven insights on player performance and workout patterns, drill-level progress tracking with per-exercise logging, injury reporting, and real-time health monitoring dashboards.
Custom TCP web client implementing flow control throttling with a deliberately small receive buffer and processing delays. Generates observable Wireshark artifacts including zero-window probes and window size changes for network protocol analysis.
HTTP web server built from scratch using Python raw TCP sockets. Handles GET requests, serves static content, parses HTTP headers, and manages concurrent connections on a custom port.
Solved "Warnet" challenge by bypassing JWT authentication and exploiting Node.js vulnerabilities to gain admin access. Completed "TimeTok" challenge via command injection in a PHP application, uncovering system command execution vulnerabilities.
Relevant coursework: Computer Networks, Reverse Malware Engineering, Secure Software Development, Operating Systems, Applied Linear Algebra, Principles of Cybersecurity. Hands-on labs in Wireshark packet analysis (IPv4, IPv6, DHCP, NAT, IP fragmentation), Cisco Packet Tracer network configuration, IDA Pro / Ghidra binary analysis, and POSIX systems programming.
Google Developer Student Club member. Participated in workshops and events enhancing coding skills and community involvement.