Asset Integrity Engineer
RBI Decision Systems • Engineering Data Architecture • Physics-Constrained ML • Secure Automation
I design and implement decision-support systems for asset integrity and risk-based inspection (RBI) programs.
My work operates at the boundary between engineering judgment, structured data systems, and applied machine learning. The objective is not algorithmic novelty — the objective is defensible operational decisions.
Systems are built to ensure:
- Explicit assumptions
- Transparent transformation logic
- Inspectable data lineage
- Bounded model behavior
- Visible failure modes
flowchart TD
A[Physical Reality] --> B[Structured Engineering Data]
B --> C[Explicit Domain Logic]
C --> D[Physics / Risk Framing]
D --> E[Validation Harness]
E --> F[Operational Decision Support]
Engineering judgment is preserved — not replaced.
Automation reduces ambiguity, not accountability.
Architectural priorities:
- Schemas aligned with physical meaning
- Validation at ingestion
- Deterministic transformations
- Version-controlled logic
- Full audit trail
Data quality is treated as an engineering risk variable.
Primary language: Python, HTML, Javascript
Design emphasis: Reproducibility • Auditability • Determinism
If an assumption is not written, it will fail silently.
If data lineage is not explicit, the decision is not defensible.
If a model cannot define its boundary conditions,
it is not operational.
Open-source physics-first integrity simulators. Each entry is a self-contained Python package with governing PDEs/ODEs documented in code, analytical benchmarks against textbook constants, a Monte Carlo layer over the deterministic model, and a run_all.py entry point that reproduces every figure.
| # | Repo | Domain |
|---|---|---|
| Week 3 | Integrity-code-series-3 | F1 lap simulation (six coupled ODEs) |
| Week 6 | Integrity-code-series-week6-smartphone-galvanic | Smartphone galvanic corrosion (Laplace + Butler-Volmer) |
| Week 7 | integrity_code_series_week7_h2_lferw | LF-ERW H2 conversion (B31.12 + NACE TM0316) |
| Week 8 | integrity-code-series-week8-creep-fatigue-heater | Creep-fatigue 9Cr-1Mo (Norton/Omega + Coffin-Manson) |
| Week 9 | integrity-code-series-week9-cui | CUI thermohygro-electrochemical (3 PDEs, Strang) |
| Week 10 | integrity-code-series-week-10_nnph_scc | NNpHSCC full-physics (Chen-Sutherby-Xing + BS 7910) |
| Bonus | Vibration-Accelerated-Corrosion-Coupled-Mechano-Electrochemical-Simulation | Vibration-accelerated corrosion (SDOF + Butler-Volmer + Archard) |
| Bonus | synthetic-integrity-digital-twin-piml | Physics-informed neural-network surrogate |
| Bonus | integrity-data-foundation | Engineering data validation baseline |
Live status dashboard: integrity-code-series-dashboard — auto-refreshed monthly.
feliper@infinitygrowth.ca
felipe@olivainternationaltech.com
https://www.linkedin.com/in/felipe-rocha-7a944b133/
Open to technical discussions involving:
- Asset integrity digitalization
- RBI architecture
- Physics-informed modeling
- Engineering-grade automation
- Secure industrial data systems