Problem
Storm-driven businesses lose time when weather events, territory relevance, and follow-up timing are all checked manually across maps, forecasts, and internal notes.
R&D case study
WeatherForge
Weather-triggered signal and routing system in active development to turn storm activity into usable operational input for StormIQ.
At a glance
Delivery stage
R&D
Current state
Active Build
My role
Sole architect and engineer building the system foundation
In-progress proof surface
WeatherForge is under active development, with proof added as it becomes real.
This case study is structured to accept real walkthroughs, diagrams, and operational artifacts later. Until those exist, the page stays text-led and explicit about what is still in progress.
System Walkthrough (planned)
A walkthrough is being prepared once the first usable end-to-end signal path is stable enough to show without hand-waving.
Architecture / Flow
The current architecture direction is already clear even though the full artifact set is not published yet.
What was built
WeatherForge is being built as the event-signal layer that will feed StormIQ. The current direction centers on ingesting weather and geography signals, normalizing them into reviewable events, and handing those events to downstream qualification and routing workflows instead of asking operators to monitor conditions by hand.
Result
System boundaries are defined for signal ingestion, normalization, territory relevance, and downstream routing; implementation is in progress
How the system was structured
This section shows the operational logic behind the build, not just the user-facing surface.
Key system pieces
Signal ingestion boundary for weather, geography, and event windows.
Normalization layer designed to turn raw event data into reviewable operational triggers.
Routing seam intended to pass vetted event signals into later qualification workflows.
Core constraint
Signal quality: raw weather activity is noisy, so the system has to separate interesting operational events from background data before anything gets routed forward
Stack
PythonFastAPIGeospatial ProcessingEvent RoutingWorkflow APIs
Proof status
This page separates what is already visible from what is still being prepared, so the proof layer can grow without pretending unfinished artifacts already exist.
Proof surfaces
Real artifacts stay visible. Missing artifacts are labeled directly so this page stays honest and ready for stronger proof later.
System Walkthrough (to be added)
In progressA walkthrough is being prepared once the first usable end-to-end signal path is stable enough to show without hand-waving.
- Walkthrough video to be added after the first end-to-end signal capture and routing pass is stable.
- Current state: architecture and workflow boundaries are defined, but the public walkthrough would still be premature.
Architecture / Flow
Available nowThe current architecture direction is already clear even though the full artifact set is not published yet.
- Event ingestion boundary for weather and geography inputs.
- Normalization layer that converts raw signals into reviewable event objects.
- Routing handoff planned to feed StormIQ qualification and downstream workflow logic.
Operational Surfaces
Available nowThe work is being shaped around reviewable operational surfaces rather than a hidden model-only flow.
- Signal review surface for checking whether an event should advance.
- Territory relevance and timing rules to prevent noisy triggers.
- Downstream delivery seam designed for later lead or workflow handoff.
Artifacts & Evidence (to be added)
In progressThe page is ready for real artifacts, but they are not being claimed before they exist.
- Lifecycle diagram in progress.
- Signal review screenshots to be added once the interface is stable.
- Operational trigger artifacts to be added after the first durable workflow run.
Related case studies
More work at a similar delivery stage.
Active Build
Proof surface in progress
Architecture / Flow
The architecture direction is already concrete: stateful orchestration, controlled branches, and explicit review seams.
R&DActive BuildApplied AI & Automation Systems
DGM
Workflow orchestration layer in active development for managing state, decision flow, and human review inside StormIQ.
My Role
Sole architect and engineer building the orchestration layer
Outcome
Execution model is defined for graph-driven workflow state, validation boundaries, and human review seams; implementation is in progress
PythonFastAPIWorkflow GraphsQueue-backed Jobs
Read case study
R&DArchitecture in ProgressApplied AI & Automation Systems
StormIQ
Broader lead-automation direction being built on top of WeatherForge and DGM rather than treated as a finished standalone system.
My Role
Sole architect defining the system direction and building the foundation layers
Outcome
StormIQ is now framed as a serious in-progress program direction, with WeatherForge and DGM acting as the concrete systems under active development
PythonFastAPIWorkflow OrchestrationQueue-backed Jobs
Read case study