Applied systems practice for production, AI workflows and technical operations.

A professional signature, a home for projects and a personal laboratory for applied R&D.

Guglielmo conceives and builds systems with the structure and operational discipline of an R&D laboratory: operational software, AI media orchestration, production tools, virtual production systems, workflow automation and post-production infrastructure.

The work sits between cinema operations and software R&D: tools for production intelligence, script-to-production structure, DCP/KDM operations, personal data infrastructure, AI workflow control and systems that make messy operational processes inspectable.

Many KRD systems are self-initiated: they start from real production, technical or operational pressure before there is a standard client brief. That is part of the method, not a weakness.

Projects are treated as proofs of method. A project may be a foundation-stage system, working MVP, operational prototype, internal tool or production-facing R&D track, but its declared maturity remains the boundary for how it should be read.

The recurring question is practical: how do fragmented workflows become systems with state, provenance, access control, review, cost visibility and human supervision?

KRD is grounded in virtual production, real-time systems, AI systems, workflow automation, post-production, delivery and operational context. The perspective is not only software-first; it comes from the point where cameras, LED volumes, media servers, VFX workflows, DCP/KDM delivery and production departments meet real constraints.

KRD works from the production floor outward: LED volumes, media servers, post-production rooms, delivery operations, AI generation stacks and software interfaces that were never designed to cooperate.

This background shapes the software: tools are designed around state, review, provenance, production memory and bounded automation instead of abstract dashboards or loose AI demos.

KRD identifies Guglielmo’s contribution to project conception, ownership, development and R&D direction as specified for each project. Production work takes place with crews, studios, vendors, clients and partners; their roles and contributions remain distinct. The links below describe that production context without implying ownership or formal partnership.

Some public projects sit between KRD-owned systems, collaborations, ecosystem work and external brands. The distinction matters: KRD should be credited for the system work it actually built, without erasing originators or overstating ownership.

Famousify was originally initiated by Tiziano Fioriti and belongs to his initial brand/project direction. KRD did not invent the original brand/IP from zero; KRD built the AI/backend generation studio and product-to-checkout workflow layer, which is already close to a reusable template system for fast product-generation apps. What remains is mostly productization and hardening.

Glimpser began from a prototype developed around Tiziano Fioriti's Himil project: contextual short-form clips designed to enrich a pre-existing narrative world before and during production. KRD expanded and re-engineered that prototype into a broader production system for reusable worlds, controlled runs, approvals, credits and organized delivery.

For senior collaboration, role fit, technical review or applied systems conversations, start from Work with KRD. For project-specific dossiers, use the project pages and request access where needed.

Selected CV versions for senior collaboration, consulting, applied R&D, role-fit review and technical due diligence.

The Human / Executive version is intended for senior collaboration and strategic review. The ATS version is cleaner for HR systems, technical screening and structured recruiting workflows.