Systems integration & delivery
The seams between subsystems, teams, and disciplines, where integration risk hides. Requirements framing, interface ownership, readiness, and getting complex programs to a validated state.
A systems-integration and technical-delivery lead working where hardware meets software. I write about the engineering, and I'm building a cyber-physical systems project in the open, about how autonomous systems detect their own faults and fail safely.
The seams between subsystems, teams, and disciplines, where integration risk hides. Requirements framing, interface ownership, readiness, and getting complex programs to a validated state.
Embedded systems, sensing and actuation, ADAS and perception, industrial automation, and the control and coordination problems of embodied systems.
Modelling physical assets, telemetry and edge compute, sim-to-real, and the fidelity problem of keeping a digital model honest to the hardware.
What actually breaks at the seams between subsystems, and what to check before a milestone.
Read →The difference between testing activity and actual evidence of readiness.
Read →Why interfaces go unowned, and the structural reasons no team sees the boundary.
Read →Alongside the writing, I keep a small set of diagnostic tools open. No pitch and no funnel: if a milestone is looming and a structured outside read would help, they are here, entirely async. Below is a redacted look at what they produce.
Top risk clusters: System Structure & Interfaces (Fragile), Validation & Readiness (Fragile), Definition Clarity (Unstable).
See full sample →The system is progressing under compressed timelines with critical interface assumptions undocumented. The primary risk is structural — ownership and validation criteria are implicit.
I work at the boundary between hardware, software, and delivery, helping technical teams reduce execution risk when complexity outgrows clarity. My focus is the seams: unclear interfaces, fragile handoffs, incomplete validation, and progress that leans too heavily on a few key people.
Over a decade delivering complex hardware-plus-software programs, I work systems-first and artifact-led, turning ambiguous problems into executable plans with clear ownership and defensible readiness.
MSc, Systems Automation & Robotics (NTUA) · PMP® · Athens, Greece.
Building an open, simulation-first project on how autonomous systems detect their own sensor faults and fail safe: sensor fusion, a digital twin with drift detection, fault detection and isolation, and a safe-state layer. Writing up each milestone. Open to senior systems-integration and robotics / automation roles.
The tools and code: open-source work · github.com/andrewmichelis