I'm David Glover

Led development of a full-stack irrigation monitoring and control platform used across four farms. Designed REST APIs and backend services for sensor ingestion, hardware management, authentication, and historical data retrieval. Built an automated irrigation engine with configurable sensor thresholds, real-time Socket.IO updates, and manual overrides. Implemented automated testing, database migrations, CI/CD pipelines, and containerized AWS deployment.

Developed a full-stack mobile application that converts grocery receipts into structured pantry inventories and recommends recipes based on available ingredients and spoilage priority. Designed a Supabase relational database and authentication system, integrated Gemini-based receipt processing, and built automated recipe scraping and ingredient-parsing pipelines.

Built a multithreaded HTTP/1.0 server in C using POSIX sockets, supporting concurrent client connections and static file serving. Implemented HTTP request parsing, header validation, URI handling, and Content-Length support. Tested memory safety and correctness using Valgrind.

Developed a full-stack student productivity platform integrating class scheduling, bus arrival times, event synchronization, and anonymous course forums. Built Flask backend services with MongoDB persistence, user authentication, and automated course data scraping.

Built a gamified sustainability application encouraging environmentally conscious habits through activity tracking and competitive leaderboards. Developed Flask REST APIs and MongoDB data models for user management, activity persistence, and leaderboard updates.

Trained a convolutional neural network to classify Pokémon cards using a dataset of over 120,000 images. Automated dataset collection and preprocessing with Python, and developed a containerized FastAPI inference service for model deployment and testing.

Developed a full-stack financial dashboard for monitoring stock market trends and visualizing portfolio performance. Implemented Flask REST APIs, dynamic JavaScript visualizations, and MongoDB storage for market data caching and persistent portfolio tracking.