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Work / Engineering evidence

Systems explained by outcomes, constraints and architecture.

Each report shows the decision path behind delivered programs, active work, research labs and open-source systems. Generalized client context stays explicit; evidence comes before stack labels.

Open Source

03 systems
Lab / open-source / Open Source / ongoing

LiteratureAtlas

An offline-first research atlas turns local PDFs into summaries, embeddings, maps, Q&A, and analytics.

Constraint PDF ingestion and generated outputs must remain local.

Select a signal node to inspect its operating principle.

  1. PDF ingestionKeep source material local.
  2. Local intelligenceSummarize and embed on device.
  3. OutputsPersist inspectable local artifacts.
  4. AtlasConnect maps, Q&A, and analytics.
SwiftUI application, local intelligence workflow, analytics, and optional accelerationSwiftUI / On-device LLM / Python
Lab / open-source / Open Source / ongoing

Codebase Combiner

A workspace becomes a filtered, prompt-ready artifact with predictable size and token estimates.

Constraint LLM context needs the right files in the right order at a predictable size.

Select a signal node to inspect its operating principle.

  1. WorkspaceDiscover candidate source files.
  2. SelectionApply glob and extension filters.
  3. SizingEstimate prompt tokens before export.
  4. ArtifactGenerate one prompt-ready document.
VS Code extension, macOS SwiftUI application, filtering, and prompt artifact toolingVS Code Extension / Node/JS / SwiftUI
Lab / open-source / Open Source / fork

Quants Lab (Research Base)

A forked research base provides notebooks, backtesting scaffolding, labeling, optimization, and visualization for experiments.

Constraint The repository is a forked base rather than an original RSI Tech project.

Select a signal node to inspect its operating principle.

  1. ResearchOrganize repeatable experiments.
  2. LabelingPrepare strategy evaluation inputs.
  3. BacktestingRun experiments against shared scaffolding.
  4. VisualizationInspect market and result data.
Use as a research sandbox for strategy experimentsPython / Notebooks / Backtesting