Lead AI Systems Architect | Sovereign Process Architect
I design Scientific Operating Systems — software infrastructure that encodes the reasoning standards of scientific and domain-expert institutions into deterministic, auditable architecture that scales without sacrificing rigor.
My deployed framework, the Sovereign Process Architecture (SPA), has been applied across four diverse domains — continental soil health monitoring, clinical medical imaging, microbial bioreactor governance, and human labor verification — using the same four structural invariants in each case. Same architecture. Different domain. Proven portable.
The Problem I Solve
Most institutions have spent decades building methodological rigor — peer-reviewed frameworks, validated measurement standards, and established interpretation rules. Their software infrastructure treats that knowledge as data to be stored, not logic to be enforced. The result: outputs that look scientific but cannot be audited, reproduced, or defended under regulatory or legal scrutiny.
I build the layer that fixes this. Every system I design enforces four structural invariants:
→ Provenance-First Verification: Every conclusion is traceable to the process that produced it, not just the output value.
→ Gate-Ordered Reasoning: Systemic coherence must be established before local claims are permitted; demotion is structural, not advisory.
→ Longitudinal Window Truth: Trajectories across biological or behavioral windows replace static point-in-time readings as the actionable object.
→ Deterministic Validator with Prohibited Content: Certain outputs are architecturally blocked regardless of what the data appears to suggest.
The Four Deployments (Proof of Universal Applicability)
🌱 Soil Vitality Architecture (SVA): A Scientific OS for continental-scale soil health monitoring. Encodes the Soil Health Institute's published methodology into a V0–V7 Validator Node pipeline, Seasonal Window Engine, and Glass Box governance layer. Converts 19M-acre benchmark science from static reports into auditable longitudinal trajectories.
🔬 The Brioschi Protocol (InfraREDMed): A clinical intelligence OS for infrared thermography. Wu Xing process modules with Human Star phase-lock physics. Xīn-First gate hierarchy enforces systemic coherence before local diagnostic claims are permitted.
🦠 Johnson-Su Bioreactor Protocol (MROS): A Microbial Reactor Operating System for Biologically Enhanced Agricultural Management (BEAM). Implements a 12-month Forensic Validator Node to govern the maturation trajectory, track microbial "Phase Jitter," and ensure verifiable BEAM claims.
🧠 FocusCraftJob Validator Node: Behavioral forensics for human labor verification. An immutable flight recorder of cognitive effort. Socratic Handshake (H1–H4) gates prove the builder directed the work, rather than simply receiving it.
Origin
My professional lineage is in Physical Architecture and Structural Design. In physical architecture, a flawed blueprint doesn't produce a flawed building — it produces a collapsed one. I brought that discipline into AI systems design. I don't build tools that approximate domain expertise. I build architecture that enforces it.
If your institution has built rigorous methodology and needs software that enforces it rather than simplifying it — that is the engagement I am designed for.
Public Proof Summary
11 featured public proofs. 1 verified, 0 partial, 5 unverified, 5 draft.
Top public skills: Cloud Architecture, Data Security & Encryption, HIPAA Compliance, Infrastructure as Code, Network Security, Programming (Python, Go, Java), Anomaly Detection, Event-Driven Architecture
This project involves developing a HIPAA-compliant, event-driven platform on Google Cloud Platform to ingest, process, and analyze diverse medical data (images, time-series signals). Utilizing Python for scientific computing and advanced algorithms, the system generates real-time insights, visualized through a React.js frontend, while incorporating robust database management and graph theory for network analysis to ensure scalability and data security.
This project involves architecting a secure, decentralized identity and transaction platform leveraging Distributed Ledger Technology (DLT) and Post-Quantum Cryptography (PQC). It integrates robust biometric authentication, ethical AI governance, and resilient consensus mechanisms, all within a cybersecurity engineering framework to ensure future-proof data integrity and privacy.
This project focuses on designing an AI solution to optimize a critical business process, integrating advanced generative AI and machine learning models. It involves architecting a robust cloud-based deployment, establishing MLOps best practices, and developing a strategic roadmap that incorporates ethical AI principles and financial modeling. The goal is to deliver a comprehensive plan for an AI initiative from concept to strategic implementation.
This project develops an AI-powered document Q&A system leveraging Retrieval-Augmented Generation (RAG) with LangChain and a FastAPI backend. It integrates a full MLOps pipeline, covering cloud infrastructure provisioning on AWS/Azure with Terraform, containerization with Docker, and orchestrated deployment via Kubernetes, all monitored through Prometheus and Grafana.
Ce projet d'un mois vise à planifier, organiser et simuler le lancement d'un événement professionnel entièrement bilingue (français/anglais), en gérant toutes les facettes de la logistique, du budget et des relations avec les parties prenantes. J'utiliserai des outils de gestion de projet avancés comme Notion ou Wrike pour suivre les progrès, coordonner les fournisseurs et assurer une communication professionnelle fluide avec les participants et sponsors virtuels.
Ce projet immersif de trois mois vise à concevoir et à implémenter une architecture de données cloud résiliente pour une entreprise fictive, en intégrant les principes de sécurité et de confidentialité dès la conception. Il met l'accent sur la conformité réglementaire (RGPD, Loi 25), la gouvernance des données, l'anonymisation et la gestion des risques liés à l'IA/ML, tout en utilisant des technologies Big Data.
This capstone project involves leading a simulated digital transformation for a multinational corporation, focusing on optimizing global operational processes. It encompasses strategic planning, technology platform integration, and robust change management to drive efficiency and enhance data-driven decision-making across diverse regions.
This project develops an AI-powered document Q&A system leveraging Retrieval-Augmented Generation (RAG) with LangChain and a FastAPI backend. It integrates a full MLOps pipeline, covering cloud infrastructure provisioning on AWS/Azure with Terraform, containerization with Docker, and orchestrated deployment via Kubernetes, all monitored through Prometheus and Grafana.
This project involves designing and implementing a secure, cloud-native platform for real-time video streaming and anomaly detection, specifically tailored for healthcare environments. Leveraging an event-driven architecture, serverless computing, and advanced data encryption, the system ensures HIPAA compliance while providing intelligent monitoring capabilities. Key technologies include AWS services, Python/Go for backend logic, and Infrastructure as Code for robust deployment.
Designed and developed an end-to-end e-commerce application featuring a computer vision-driven visual search and a personalized product recommendation engine. This project integrated frontend UI, backend machine learning model deployment on the cloud, and data science principles to optimize user experience and conversion.
Designed and developed an end-to-end e-commerce application featuring a computer vision-driven visual search and a personalized product recommendation engine. This project integrated frontend UI, backend machine learning model deployment on the cloud, and data science principles to optimize user experience and conversion.