Jonathon Moore

Built this website! A serverless full-stack app using Next.js on S3 and AWS Lambda. Features a custom RAG pipeline that injects resume context into Claude 3 Haiku for real-time chat.

Developed an intelligent tutoring system backed by a Neo4j Knowledge Graph to prevent LLM hallucinations. Engineered a 'Graph-RAG' pipeline and specialized prompt chains to guide students via Socratic questioning.

Architected an adversarial reinforcement learning environment in Godot 4. Trained two PPO agents to develop emergent evasion strategies (juking, kiting) using a shared-weight neural network.

Built an automated testing pipeline to judge AI performance. Constructed a mock student database to simulate varied learner personas and quantified the AI's ability to maintain 'Socratic' teaching methods versus hallucinating answers.

Leading the CS department. Directed the 'Atmospheric Gravity Waves' research project using Python to analyze space data. Updating curriculum to include TinyML and Edge AI.

Mentored a senior student in creating an English-to-Northern Cheyenne translator model. Guided the data collection and model training process to help preserve an endangered indigenous language.

Completed comprehensive engineering curriculum and Senior Capstone. Provost List Scholar. Core member of the RDP Research Lab for Machine Learning and AI (4 years).

Designed robust IT infrastructures for industrial clients. Authored system documentation and managed installation projects to ensure high availability.

Co-developed a comprehensive mobile parking application for Grand Canyon University to help students find available spots in real-time.

Engineered an IoT plant monitoring system. Integrated Computer Vision to analyze plant health via color gradients and used a Raspberry Pi to autonomously control environmental factors based on a reward function.

Developed a real-time gesture recognition system on the edge. Trained a lightweight ML model to classify physical gestures using sensor data collected and deployed on a Raspberry Pi.

Completed comprehensive coursework in cloud infrastructure, model training, and deployment strategies within the AWS ecosystem.

Automated manual data entry workflows using custom SQL and IMS Basic scripts. Managed Linux server operations and troubleshooting.

Implemented the classic Snake game in C and Verilog on a DE-10 Standard Intel FPGA board.

implemented a structural and behavioral encryption algorithm in both Verilog and VHDL. Designed the system to access peripherals through an Intel computer image for hardware-level message encoding.

Migrated legacy JS backend to Python. Built a serverless AWS Lambda pipeline to automate image tiling for large agricultural datasets. Deployed via Docker & Jenkins.

Founded and led the university's AI community. Organized workshops, guest lectures, and hackathons to foster student interest in Machine Learning.

Organized the college DeepRacer league. Built the physical track and coordinated outreach to local high schools to get younger students competing in RL racing.

Developed a predictive model using student survey data to optimize dorm housing assignments and find the 'best fit' roommates to reduce conflict.

Used Detectron2 (Computer Vision) to automate text-box detection in documents. Collaborated with international teams to integrate RCNN models.

Ranked #9 Rookie in the nation. Executed high-volume cold outreach and managed the full sales lifecycle. Learned grit, resilience, and communication.