Interactive Architecture Catalogue

Systems Engineered for Stochastic Reality.

Every project below is decomposed into interactive architectural components—complete with formal Powell UMF state formulations, client-side system diagrams, deterministic simulation code, and live evaluation harnesses.

in progress

Powell's Sequential Decision FrameworkSpatio-Temporal Econometrics (Wikle)Finite Population Sampling (Lohr)Bayesian Experimental Design (Marzouk)Contribution Margin Optimization (Phillips)

Project Aegis: Autonomous Stochastic Supply Chain Orchestrator

An enterprise multi-echelon inventory allocation, dynamic pricing, and spatial fulfillment routing engine calibrated on 100,000+ Brazilian Olist e-commerce orders.

Python 3.14DuckDB OLAPHexagonal DDDPyTorch ST-GCNHypothesisDistributed SagasSequential Monte Carlo

Open System Overview →Launch Module 01 →

Architectural Modules (6 Components)

Click any module to open interactive player

MODULE 01 · CH.124:00

Hexagonal Ingestion Gate & DuckDB Spatial Spine

Alexis King Parse Don't Validate boundary proofs, DuckDB OLAP materialization, and Geodesic K-Means hub synthesis

src/infrastructure/duckdb_adapter.pyInspect →

MODULE 02 · CH.129:00

Spatio-Temporal Covariance & Lohr Survey De-Biasing

Detrended spectral PCA, Kronecker-separable DSTM transitions, and Horvitz-Thompson geographic bias correction

src/domain/spatio_temporal.pyInspect →

MODULE 03 · CH.131:00

Powell's 5 Canonical Elements & GAAP ASC 606 Objective

State vector (Rt, It, Bt), SMC particle filtering for censored demand, and time-weighted contribution margin

src/domain/umf_model.pyInspect →

MODULE 04 · CH.227:00

Harel Statecharts, Event Sourcing & Distributed Sagas

Bit-for-bit replay determinism via counter-based PRNG keys, Petrov OCC, and Garcia-Molina compensating transactions

src/application/saga_coordinator.pyInspect →

MODULE 05 · CH.234:00

The 4-Policy Meta-Class Tournament & Shadow Deployment

Benchmarking PFA, Knowledge-Gradient CFA, CAVE Dual Shadow-Price VFA, and ST-GCN Lookahead DLA

src/policies/tournament.pyInspect →

MODULE 06 · CH.223:00

Extreme Value Chaos Corpus & High-Cardinality Observability

Aggarwal EVT anomaly synthesis, Hypothesis invariant proofs, and Charity Majors wide structured telemetry

src/infrastructure/chaos_verifier.pyInspect →

complete

Powell's Sequential Decision FrameworkDirect Lookahead Approximation (DLA)Analytical CRM · CLV & Churn ModelingRevenue Management (Talluri)Contribution Margin Optimization (Phillips)

Poultry CRM Operations System

A production-grade Direct Lookahead (DLA) pricing engine for B2B poultry wholesale — built on Powell's Sequential Decision Framework, deployed on GCP Cloud Run.

Python 3.14FastAPISQLAlchemyPrometheusDockerGCP Cloud RunFirebase Auth

Open System Overview →Launch Module 01 →

Architectural Modules (6 Components)

Click any module to open interactive player

MODULE 01 · CH.122:00

System Context & Problem Formulation

Powell's Universal Modeling Framework — defining state, decision, and exogenous variables before writing code

src/core/model.pyInspect →

MODULE 02 · CH.128:00

The Digital Twin Transition Model

Immutable state evolution and the contribution margin objective function

src/core/physics.pyInspect →

MODULE 03 · CH.132:00

The DLA Pricing Policy

Monte Carlo rollout over multi-step horizons — evaluating candidate actions and selecting the optimal one

src/policies/base.pyInspect →

MODULE 04 · CH.225:00

The Quote API & Order Lifecycle

FastAPI endpoint design, idempotency, atomic persistence, and the transactional outbox

src/api/main.pyInspect →

MODULE 05 · CH.220:00

Security Architecture

Zero static credentials — GitHub OIDC, GCP Workload Identity Federation, Firebase JWT, dual-layer IAM

src/core/auth.pyInspect →

MODULE 06 · CH.226:00

Observability, Drift Detection & MLOps

Prometheus instrumentation, Wasserstein drift alerts, model registry gating, and CI/CD deployment

src/core/observability.pyInspect →

Custom Architecture & Advisory

Need a stochastic decision engine calibrated to your own data?

From 3-week diagnostic margin audits to full production deployment of CFA, VFA, and DLA policies.

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