Grouped by domain rather than by tool. Select a domain to filter the work registry underneath it.
Modelling, coordinating and dispatching electrical assets — from traction substations to distributed energy resources.
Getting field devices to speak to software without losing determinism, and keeping the boundary between the two defensible.
Embedding governing equations and threat models into learned components so their outputs stay physically admissible.
Turning raw sensor returns into geometry a controller can act on, with the calibration maths done properly.
Letting language models reach real actuators and real ledgers without giving up an audit trail or a kill switch.
The delivery substrate: typed services, native extensions, real-time browsers surfaces, and pipelines that publish.
Interactive simulator for the cross-domain CIM + ThreMA ontology, PINN solvers, RL security agents and IEEE 9-bus cyber-physical validation.
DER middleware and control surface: protocol ingest, MILP dispatch, anomaly detection, and an MPC forecast loop.
Distributed energy resource integration middleware focused on verifiable coordination and grid-aware execution.
Governance layer for AI agents acting on financial systems: deterministic policy engine, signed action tokens, hash-chained audit log.
LiDAR-to-camera projection with SE(3) extrinsics, pinhole intrinsics, z-buffer occlusion handling and a KITTI calibration loader.
AI-native middleware for human-to-model orchestration in safety-critical, physics-informed environments.
Enterprise platform for Deutsche Bahn infrastructure and station-development projects across 14 technical departments, data-driven from a 1,298-project dataset.
The AI-native robotic operating system for the highest-pain, highest-ROI trades — the platform behind the Forge Line on engineeringgrimaldi.com.
AI-native automation for the flooring trade — Forge Line entry, in active development with public code.
AI-native automation for the painting trade — Forge Line entry, in active development with public code.
AI-native automation for drying and climate workflows on site — Forge Line entry, in active development with public code.
Behind-the-meter power for AI data centers: on-site generation, DC microgrids and hybrid storage that bypass grid interconnection delays.
Custom and semi-custom SiC & GaN power modules, high-density converters and intelligent power-delivery networks for AI GPUs and rack-level power.
Liquid-cooling infrastructure and thermal-power co-optimization for high-density AI racks: direct-to-chip cold plates and advanced CDUs.
Hardware-agnostic, deterministic software foundation for end-of-line palletizing: control loops, safety logic, mixed-SKU planning and fleet telemetry, with a live optimizer.
Physics-informed intelligence does not stop at pattern recognition. It constrains learning with the same governing equations that define the physical system.
Real-time surrogate models for optimal power flow and inverter control — systems that are not merely intelligent, but operationally trustworthy under physical constraints.
Everything I ship lives on one of three properties, each with a single, non-overlapping mandate. This site is the software surface; the other two cover hardware and the person behind both.
You are here. Software engineering, agentic AI systems, physics-informed learning, grid middleware, and the full development and deployment practice behind them.
This site →engineeringgrimaldi.comHardware · Electrical EngineeringThe hardware and electrical engineering surface: high-voltage systems, embedded control boards, power electronics, and continuously deployed engineering write-ups of physical builds.
Visit the hardware lab →grimaldi.caPersonal · Blog · LifeThe personal all-in-one blog: life, travel, social updates, and the long arc of the work across the years — the human context around the engineering.
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