signai.ryanmcc.dev — Generative AI Sign Mockups & Parametric SVG Engine
https://signai.ryanmcc.dev
A generative web application engineered to accelerate industrial signage and commercial fabrication estimating. Users describe sign requirements in natural language; the system parses the prompt, auto-populates a structured parametric specification form (dimensions, substrate types, lighting styles, mounting hardware, and typography), and generates an editable, precision-scaled SVG mockup with one-click export pipelines for customer proofs and production pre-press.
Explore the active beta at signai.ryanmcc.dev ↗.
ag.ryanmcc.dev — Agricultural Analytics & Automation
https://ag.ryanmcc.dev
A unified operational web console integrating plant health visualization, RFID batch-tracking logic (Metrc compliance), and environmental sensor telemetry into a single responsive interface. Engineered to eliminate operational fragmentation and high audit overhead in commercial agricultural setups.
Read the case study & architecture overview or explore the live application.
flora.ryanmcc.dev — Botanical Data Architecture
https://flora.ryanmcc.dev
A botanical taxonomy and cultivation management database built for logging cultivar lineage, phenotype variances, nutrient feeding schedules, and photoperiod cycles. Includes structured query interfaces and export pipelines for field inspection audits.
Live tool accessible at flora.ryanmcc.dev ↗.
funga.ryanmcc.dev — Mycological Data Architecture & Cultivation Systems
https://funga.ryanmcc.dev
A specialized data architecture and environmental lifecycle tracker designed for mycology and precision fungal cultivation. Features structured logging for spore and culture lineages, agar clone generations, liquid culture batch metrics, substrate colonization rates, and automated fruiting chamber telemetry (relative humidity, CO2 ppm, and temperature regulation).
Live tool accessible at funga.ryanmcc.dev ↗.
floor.ryanmcc.dev — Spatial Layout & Yield Engine
https://floor.ryanmcc.dev
An algorithmic 2D spatial optimization tool designed for planning grow-room canopies, manufacturing table layouts, and industrial equipment footprints. Calculates square-footage utilization, HVAC air-flow clearances, and projected yield densities under varying geometric constraints.
Live layout planner at floor.ryanmcc.dev ↗.
bdgt.ryanmcc.dev — Algorithmic Financial Modeling
https://bdgt.ryanmcc.dev
A deterministic financial modeling and capital budgeting engine. Designed for tracking equipment depreciation (CNC tables, large format printers), calculating substrate consumable burn rates, and running cash-flow projections with zero reliance on bloated third-party spreadsheet SaaS tools.
Explore the engine at bdgt.ryanmcc.dev ↗.
Typst Dynamic Variable Resume
https://github.com/ryanbrett/resume/
A dynamic, code-driven resume document system built with Typst. Instead of wrestling with static layout applications or fragile markup, this system uses programmable Typst code to generate variable-driven, pixel-precise document outputs with custom typographic hierarchy and modular data structures.
Source code, typographic templates, and build configuration available on GitHub. If you would like a direct copy of my resume, feel free to reach out.
Compliance & Safety Signage Engine
An automated web application and workflow system for industrial signage and pharmaceutical-grade safety labeling at Vulcan Inc. The system enforces strict adherence to federal OSHA 1910.145, ANSI Z535 visual warning standards, and state AMCC packaging rules.
It eliminated manual design mistakes on critical industrial safety panels and achieved a verified 100% regulatory audit pass rate across active production facilities.
Departmental Pre-Press Automation Suite & CorelDraw VBA Library
An extensive custom automation engine and UserForm application suite engineered for industrial manufacturing. While basic variable data merges handle static text replacement, this modular VBA library acts as a comprehensive departmental pre-press cockpit—automating virtually every repetitive graphic preparation, vector sanitization, and proofing task across the department.
The system features intelligent pre-flight error catching (flagging RGB leaks, unclosed vector curves, missing registration marks, and out-of-gamut inks), automated contour bleed and crease generation, parametric sheet imposition, and RegEx-driven data cleansing for unstructured customer manifests.
| Workflow Stage |
Manual Setup |
VBA UserForm Suite |
Efficiency / Impact |
| Variable Data Manifest Prep (100+ units) |
15 – 20 min |
2 – 3 min |
~85% Time Reduction |
| Imposition & Bleed/Crease Generation |
8 – 12 min |
Instant (15 sec) |
~97% Time Reduction |
| Pre-flight & Spot Color Diagnostics |
5 – 8 min |
Automated (<5 sec) |
Deterministic Pass/Fail |
| Customer Proof PDF Generation |
4 – 6 min |
Automated (10 sec) |
Batch Export Pipeline |
| Departmental Manual Entry Error Rate |
~4.2% error rate |
0.0% verified |
100% Error Mitigation |
Saves over 400 hours of production labor annually (~$35,000+ verified ROI). Read the full technical case study & architecture breakdown. (Enterprise code repository maintained under corporate governance; sanitized architectural samples available on inquiry.)
Kongsberg CNC & Routing Pre-flight
Internal vector pre-flighting script suite designed for Kongsberg digital finishing tables. Programmatically validates registration marks, kerf compensation offsets, and tool assignment layers (beveled knife, router bit, crease wheel) prior to physical cutting.
Reduced machine downtime and scrap substrate waste across high-density acrylic and aluminum composite panels.