01
SKatalyst AI
Transforms fragmented business data into organized databases, documentation, dashboards, AI assistants and applications customers can own.
Data architectureContext engineeringDocument processing
Private Beta
View case study →Selected work
Engineering problems, worked through.
02
Turning Fragmented Data into Trusted Decisions
A production workflow for turning distributed operational data into governed analysis and decision support.
Apache SparkData pipelinesBusiness intelligence
Internal implementation
View case study →03
Reliable Technical Reporting
A structured pipeline that turns validated test data into consistent technical reports.
PythonData validationDocument generation
Production workflow
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From Noisy Documents to Structured Data
Modular extraction for receipts and noisy documents, with validation and human review designed into the pipeline.
OCRDocument AIPython
Validated prototype
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Enterprise Test Intelligence
A platform design connecting test records, assets and reporting across operational locations.
Data modelingIntegration architectureWorkflow design
Pilot architecture
View case study →06
Context Engineering for Enterprise AI
Context engineering for enterprise agents that can cite sources, operate within boundaries and escalate uncertainty.
Context engineeringLLMsRetrieval
Research and speaking
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Publishing a Book Without Losing the Source
A checksum-tracked production and launch system spanning manuscript, print, ebook, metadata and web assets.
MarkdownPythonPDF
Publication preparation
View case study →08
Preparing Technical Ideas for the Stage
A reusable structure connecting technical research, article development and conference-session preparation.
Knowledge managementTechnical writingPresentation design
Active personal system
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