← eliuthchaverojasso.com

About

Domain experience first. Software and AI as leverage.

I build at the intersection of engineering workflows, applied AI and product systems — with a background in electrical BIM/VDC and mission-critical infrastructure.

Portrait of Eliuth Chavero Jasso

I spent several years inside complex engineering workflows before moving into software and AI product engineering.

That experience informs how I design systems: I understand the technical implementation and the people, documents, models and operational constraints behind it.

Today I build end-to-end products across desktop, backend, frontend, data, AI and deployment layers, with a focus on systems where reliability, evidence and traceability matter.

Based in Mexico · Working globally

Working style

How I approach ambiguous technical problems.

01

Start inside the workflow.

Understand the people, tools and constraints already operating before proposing a new system.

02

Make the model explicit.

Turn ambiguous requirements into structured context, relations, populations and predicates.

03

Separate discovery from authority.

Use AI to investigate and organize evidence; keep critical decisions governed and reviewable.

Experience

Engineering → BIM/VDC → Technical leadership → Product engineering → AI systems

  1. 2026 —ShokworksForward Deployed / Product & AI Engineering
  2. 2025–2026CrusoeVirtual Design Engineering / Critical Infrastructure
  3. 2024–2025Salas O'Brien / EhvertHyperscale Data Centers / Electrical VDC
  4. 2022–2024Comfort Systems USABIM Coordination → BIM Lead
  5. 2020 —General Contractors · Electrical TradePuebla, MX — Engineering foundation

Capabilities

Problems I can help solve.

01

Build a technical product

Discovery, scoping, architecture, implementation, UAT and deployment for complex workflows.

02

Add AI with boundaries

Retrieval, agents and structured reasoning grounded in evidence rather than uncontrolled automation.

03

Connect AEC systems

Revit API, BIM/VDC, electrical systems, drawings, schedules and engineering documentation.

04

Make results inspectable

Evidence provenance, deterministic checks, human review and reproducible evaluation runs.

C#/.NET · Revit API · WPF/MVVM · Python · FastAPI · PostgreSQL · React · TypeScript · Applied AI · CI/CD