VR De-escalation Training
A privacy-conscious Meta Quest 3 training environment that combines synchronized multi-officer VR with fully local conversational AI.
Honors Computer Science student engineering secure robotics controls, multiplayer VR, local conversational AI, computer vision, and full-stack systems.
Projects where software meets hardware, environments, and people. Public code is linked when available; research repositories remain private.
A privacy-conscious Meta Quest 3 training environment that combines synchronized multi-officer VR with fully local conversational AI.
A tested cross-platform bridge that carries authenticated DualShock 4 state from Windows to a ROS 2 robotic arm over NetBird and UDP.
A YOLOv8n pipeline trained on competition footage to detect enemy robots and translate reticle offsets into turret commands.
An event-driven client-server social platform built with Java and native WebSockets by an eight-person team.
A Java 21 desktop application that visualizes four sorting algorithms, three graph algorithms, and a custom recursive Merge Sort animation.
A three-person hackathon project that turns browser voice input into AI-interpreted actions consumed by Raspberry Pi hardware.
A full-stack Java 21 task manager with server-rendered workflows, MySQL persistence, validated data, and BCrypt-backed account authentication.
A modular Windows terminal application that connects learners and mentors through course-specific requests, feedback, and peer-to-peer UDP chat.
A 24-hour hackathon platform for handling large submission volumes through a Node.js, Express, and MongoDB stack.
I approach research as a systems problem: understand the constraint, prototype the path, instrument the result, and communicate what changed.
Developing multiplayer Unity and C# systems plus a privacy-conscious local conversational-AI pipeline for federally funded police de-escalation training.
Extending human-robot teleoperation research while engineering authenticated, fail-safe remote controls across Windows, NetBird, Ubuntu, and ROS 2.
Competitive robotics, engineering governance, and creative leadership have shaped how I communicate, coordinate, and contribute beyond my own code.
Contributing C++ and Python computer-vision software for UTA's competitive RoboMaster robotics team.
Participating in UTA's engineering-student governing body and its professional-development community.
Produced more than 30 design assets, collaborated across five campaigns, and mentored more than five junior team members.
I'm an Honors Computer Science student at The University of Texas at Arlington with a 4.0 GPA and an expected graduation date of May 2028. My coursework includes data structures and algorithms, object-oriented programming, software engineering, and operating systems.
I'm most energized by software that has to operate under real constraints: latency, privacy, unreliable networks, hardware safety, teamwork, and the messiness of the physical world.
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