The workbench / Projects & experiments
Core projects show the engineering focus and the evidence behind it. Supporting implementations and the public research track are grouped separately, with each project’s current status kept visible.
7 projects
Enterprise modernization, applied AI engineering, and developer tooling with evidence you can inspect.
Enterprise modernization
In progressI am responsible for technical discovery and proof-of-concept planning for legacy backend modernization toward .NET 10 and ASP.NET Core. The work starts from existing behavior, prioritizes behavior preservation, and remains in progress.
Developer tooling & evaluation
Experimental projectAn experimental Python CLI that separates commands, prompts, file tools, orchestration, and model calls, with traces that make each workflow step easier to inspect.
Applied AI engineering
Experimental projectA Python CLI experiment that uses typed model judgments inside a deterministic policy to keep, truncate, or drop eligible conversation tool pairs. It includes protected inputs, full-original fallback, traces, and evidence-based evaluation.
Additional backend, cloud, data, and model-integration projects.
Supporting engineering
Research & simulationA personal quantitative research program deployed to GCP, with simulation and operational validation in progress. The focus is deployment, execution, and reproducible records.
Supporting engineering
Documented implementationA Python proof of concept that separates social data collection, text preparation, embeddings, clustering, and topic summaries into an inspectable workflow.
Supporting engineering
Documented implementationA GPT-SoVITS integration study that organizes reference audio, transcription, configuration checks, inference, and a Gradio demonstration interface.
A separate record for observing identity, category association, and discovery.
Research track
Ongoing experimentAn independent research track observing whether AI search identifies Wayturn and associates the public record with backend engineering, applied AI, and enterprise modernization. The September baseline is historical evidence, not proof of gains from this positioning update.
Keep the conversation going
AI-assisted engineering, backend systems, or an interesting question.
I’m always happy to exchange perspectives.