PROJECTS
\\ SOP_CONSOLIDATION_TOOL
Custom single-file HTML application consolidating 100+ state and federal garnishment SOPs
into a unified, interactive reference tool. Built with a responsive dark/light mode UI
and smart dropdown system that dynamically renders state and order-type-specific guidance,
including Workday field instructions, legal compliance sections, exception fields, and
order-specific messaging from a centralized JavaScript data layer. Eliminates document
fragmentation across the organization and ensures consistent, up-to-date process references
for the entire garnishment team.
[HTML] [INTERNAL TOOLING]
\\ NAME_PARSER
Python utility for splitting raw full name strings into first and last
name fields. Built for OCR processing of garnishment orders, where name
formats vary widely across jurisdictions and document sources. Handles
comma, hyphen, prefix, compound surname, and suffix variations.
[PYTHON] [OCR] [GARNISHMENT PROCESSING]
> VIEW SOURCE
\\ FILE_MANAGER_APP
.NET 8 C# library for automating high-volume file operations across local
and network directories. Supports moving, renaming, and auditing files
with optional date-range filtering and automatic subdirectory sorting by
year or year/month. Interface-driven architecture with dependency
injection via a static Factory, and a StreamWriter-based logger scoped
to each operation's lifetime.
[C#] [.NET 8] [FILE AUTOMATION] [WINDOWS]
> VIEW SOURCE
\\ ASPOSE_LETTERS
PDF generation framework built with Aspose.PDF and Aspose.Words for
.NET 8, developed to explore programmatic document generation with
precise layout control. Uses a composable section architecture
(letterhead, address blocks, footer, signature) with MM-based
positioning converted to PDF points at runtime. Includes a typed
field schema with Salesforce API name mapping and a text rectangle
height estimator for dynamic vertical layout before rendering.
[C#] [.NET 8] [PDF GENERATION] [ASPOSE]
> VIEW SOURCE
\\ PDFSHARP_LETTERS
A full conversion of the Aspose.PDF letter framework to PDFsharp 6.2
(MIT), eliminating the commercial license dependency while preserving
equivalent output. Required rearchitecting the rendering model from
object-based paragraph accumulation to direct
gfx.DrawString()
calls, implementing a custom word-wrap loop with MeasureString(),
and writing a WindowsFontResolver to supply system fonts to
PDFsharp's Core build. Retains the same composable section architecture,
MM-based positioning, typed Salesforce field schema, and scoped
XGraphics lifetime pattern from the original project.
[C#] [.NET 8] [PDF GENERATION] [PDFSHARP] [MIT]
> VIEW SOURCE
> build.optimize.repeat
SYSTEMS, SIGNALS & CONSCIOUSNESS
\\ UNIVERSE_COURIER
A synchronicity messenger driven by true randomness. A hardware random number
generator (RNG-01 from Images SI Inc.) turns radioactive decay events into numbers.
When two consecutive numbers form a key pair, the three numbers just before it pick a
message from a library of tarot cards, I Ching hexagrams and other categories, and a
message sent to my phone as a ntfy push notification, sms and email, with automatic retries.
Key pairs are tuned so a message arrives about every 1-2 days.
[SYNCHRONICITY]
> GO TO universecourier.com
\\ LST_DISPLAY
Arduino sketch for the Soldered Inkplate 10 (ESP32 e-ink display) that
shows Local Sidereal Time, UTC, and local time on a persistent low-power
screen. Includes a live countdown to the peak remote viewing window
(12:45-14:15 LST), based on parapsychology research suggesting ~400%
improved accuracy near 13:30 LST when the galactic center aligns with
the horizon. LST is derived from the Unix epoch via Julian Date to avoid
a DST double-subtraction bug during CST/CDT transitions.
[C++] [ARDUINO] [ESP32] [E-INK] [ASTRONOMY]
> VIEW SOURCE
\\ CLAUDE-ASSISTED_RV_PROTOCOL
A structured, verifiable protocol for conducting remote viewing sessions
with Claude AI as tasker or viewer. Uses a password-protected Word
document as a tamper-evident target container — locked before the session
begins — to eliminate motivated feedback and make results falsifiable.
Developed through direct experimentation across live sessions, refining
the procedure to give both human and AI a shared standard of integrity.
[REMOTE VIEWING] [PROTOCOL] [PARAPSYCHOLOGY] [AI]
> VIEW PROTOCOL
> signal_detected_