I’m Anson, and I build software at the intersection of systems, applied AI, and embedded computing. I’m most interested in work that combines strong technical foundations with clear user value.
This site highlights selected projects across systems programming, machine learning, computer vision, and embedded development. Recent examples include ScenicExplorer, a C++ mapping and navigation application built on OpenStreetMap data; ALPR System, an automated license plate recognition pipeline built with YOLO and OCR; NextPersona, an LLM-powered conversational web application; and the FPGA Clarinet Simulator, a DE1-SoC project developed in C for real-time interaction and audio playback.
Focus Areas
- Software and systems engineering, with an emphasis on clarity, maintainability, and performance.
- Applied AI, including language-model experiences and computer-vision pipelines built for practical use cases.
- Embedded and low-level development, where direct control over hardware and constrained environments matters.
Approach
I prefer simple architectures, explicit tradeoffs, and products that are straightforward to operate and extend. Reliability, usability, and polish are not finishing touches; they are part of the engineering work from the start.
Technologies
My work has primarily involved Python, C, C++, Java, JavaScript, and TypeScript, along with Linux, Git, Docker, and hardware-oriented tools such as Verilog and Quartus when projects require them.
Contact
I’m open to conversations about software engineering, applied AI, and technical collaboration. You can reach me at hello@denotable.com.