Hello, my name is Nicholas Trimble. I am a software engineer focused on building structured backend services and APIs with C# and the .NET ecosystem, while leveraging a strong foundation in Python for data pipelines and web automation.
I specialize in turning real world datasets into reliable systems, focusing on clean design, maintainable code, and solving operational bottlenecks through software. I enjoy the challenge of learning new technical stacks quickly to build practical tools that improve business efficiency.
Full-stack backend systems built with C#/.NET and Python, focused on real-time workflows, data modeling, and operational analytics.
Built a real-time operational system using ASP.NET Core and SignalR to synchronize hospital room and equipment state across multiple clients. Designed around live state propagation, preventing conflicting updates in shared resource environments.
Stack: C# · ASP.NET Core MVC · SignalR · EF Core · PostgreSQL · Docker
Designed a dispatch system for assigning and tracking emergency resources in real time. Implemented concurrency-safe assignment rules to prevent double-booking and ensure consistent state during simultaneous updates.
Stack: C# · ASP.NET Core MVC · SignalR · EF Core · PostgreSQL
Built a structured work order system for tracking asset lifecycle and operational history in a facility environment. Implemented service-layer architecture, authentication via ASP.NET Core Identity, and audit logging for state transitions.
Stack: C# · ASP.NET Core MVC · EF Core · SQL Server · Identity
Built a Python-based ETL pipeline that ingests ISS telemetry data at scheduled intervals and combines it with external weather APIs. Designed to demonstrate data collection, transformation, and visualization workflows.
Stack: Python · Flask · SQLite · REST APIs
Built a real-time application using Django and WebSockets for live data updates and user interaction. Processed large external datasets (30k+ records) with API ingestion, rate limiting, and structured storage.
Stack: Python · Django · Redis · WebSockets · JavaScript
Prototype analytics system built to explore automated identification of high-risk accounts using synthetic lab QA data. Generates AI-assisted retention suggestions based on recurring defect patterns and operational trends.
Stack: Python · Django · Chart.js · Google Gemini API · SQLite
"These are web browser only games and do not work on mobile."
A simple JavaScript game to showcase front-end interaction logic.