🌐 English translation · in sync with the Portuguese original (edition 0.61)

About the author

Photo of Gilsiley Henrique Darú

Gilsiley Henrique Darú is the human editor, director and orchestrator of this living book. A data scientist, engineer and university professor, he has worked for more than 20 years at the frontier between optimization, operations research and artificial intelligence applied to planning and the supply chain — and, for the past few years, on the engineering of the AI systems this book calls a harness.

The choice of topic is not accidental. The author's trajectory is a long practice of wrapping powerful methods in a scaffold that makes them useful in the real world: mathematical solvers inside production planning and control routines, predictive models inside business processes, and now AI agents inside a scaffolding of loop, tools, memory and verification. This book is the systematization of that discipline.

Profiles: Currículo Lattes · ORCID 0000-0002-8979-0461 · LinkedIn · Contact: ghdaru@gmail.com

In one sentence

Head of Data & AI, consultant in enterprise optimization, AI and supply chain — applying the Theory of Constraints, operations research, systems thinking and AI agents to improve flows and find focus. Based in Joinville, Santa Catarina, Brazil.

Academic background

  • PhD in Numerical Methods in Engineering (Computational Mathematics) — Universidade Federal do Paraná (UFPR), in progress (since 2019). Thesis in development: Framework Humano-Computacional para Saneamento Acelerado de Dados.
  • Professional Master's in Mathematics, Statistics and Computing Applied to Industry (Data Science) — Universidade de São Paulo (USP), 2021–2024. Dissertation: Categorização de produtos em e-commerce: avaliação do método Argmax para classificação de descrições curtas em português.
  • Master's in Numerical Methods in Engineering — UFPR, 2003–2005. Dissertation: Uma heurística para o sequenciamento da produção baseada na Teoria das Restrições (mathematical programming, optimization, scheduling and heuristics).
  • Specialization in Data Science (SPRINT) — Business Intelligence, Artificial Intelligence and Big Data — SENAI/DR-SC, Florianópolis, 2018–2019.
  • Specialization in Software Engineering with emphasis on Object Orientation — Pontifícia Universidade Católica do Paraná (PUC-PR), 2004.
  • Mechanical Engineering — Universidade do Estado de Santa Catarina (UDESC).
  • Associate degree in Data Processing — UDESC.

Professional experience

Neogrid (2016–present) — a software company that is a reference in supply-chain integration. A trajectory of growing responsibility, from NGLabs to leading data and AI:

  • Head of Data & AI (since Dec 2025) — data engineering (capture, ingestion, transformation, delivery), governance (master data, reference data, metadata, quality), data science and analytics (descriptive, diagnostic, predictive and prescriptive analysis) and steering the AI initiatives, including the construction of a contextual and agentic hub.
  • Executive Innovation Manager (Jul–Dec 2025).
  • Manager of the Innovation and AI Lab in Supply Chain Management (2023–2025) — solution prototyping, data-driven experimentation and developing the team in advanced analytics.
  • Specialist / Data Scientist and Data Quality Coordinator (2016–2023), at NGLabs — collecting, cleaning, transforming, mining and communicating knowledge from data.

As an optimization and supply-chain consultant, he served large operations — retail (HAVAN), railway optimization in Germany (HVLE) and production planning in fashion (Malwee) — applying the Theory of Constraints, operations research and discrete and continuous simulation.

Earlier industry experience (more than 20 years in total):

  • Grupo Malwee (2014–2016) — Production Planning and Control Manager and Executive Technical Coordinator: improving planning capability, inventory reduction, safety-stock calculation and categorization, master plan and support for the SAP migration (PP/MRP module).
  • WEG Automação (2006–2014) — Production Planning and Control Coordinator and Systems Analyst: S&OP implementation, inventory policies with OTIF gains, improved sales forecasting, master plan, performance indicators and SAP migration (with an APO project).
  • Datasul (2000–2005) — Systems and Business Analyst: developing applications with operations research, constraint programming, genetic algorithms and data mining (coil cutting, workforce allocation, petrochemicals).

Teaching

A university professor for more than two decades, including program coordination and graduate teaching:

  • Universidade do Estado de Santa Catarina (UDESC) — University professor (since 2017): Production Management, Business Management, Entrepreneurship and Operations Research.
  • Centro Universitário — Católica de Santa Catarina — Professor in the Graduate Program in AI & Deep Learning (2024–2025); Operations Research I and II in the Production Engineering undergraduate program.
  • INESA — Instituto de Ensino Superior Santo Antônio — Professor (2017–2022): Statistics and Applied Mathematics; took part in creating the pedagogical program and in the approval of the Production Engineering program.
  • SOCIESC — Tenured professor (2011–2019): Formal Languages and Automata, Algorithm Analysis, Compilers, Theory of Computation, Calculus III, Data Structures.
  • Faculdade Metropolitana de Guaramirim (FAMEG) — Coordinator of the Production Engineering program (2011–2014) and professor (2009–2011): Operations Research, Multi-criteria Analysis, Modeling and Simulation, Statistics, Calculus. Work on ENADE and on program authorization and accreditation.
  • Also taught at FACASC, Centro Universitário Católica de Santa Catarina (Jaraguá do Sul), Faculdade Cenecista de Joinville and Associação Catarinense de Ensino.

Academic production

Full journal articles

  • Bianchini, J.; Darú, G. H.; Berger, S. Analysis of production planning and control based on the simulation of a production process using a hybrid MRP and Kanban model. Journal of Lean Systems, v. 3, n. 1, 2018. [article]
  • Bratti, R. T.; Coelho, E. T. B.; Darú, G. H.; Decker, S. L.; Steffen, D. K. A influência da lei 9870/99 sobre a inadimplência no setor educacional em uma instituição de ensino de Santa Catarina. Paidós, v. 16, 2019.
  • Bratti, R. T.; Coelho, E. T. B.; Darú, G. H.; Decker, S. L.; Reis, E. A. A Teoria do Crescimento da Firma e Fusões e Aquisições: evidências da inter-relação das teorias. Paidós, v. 16, 2019.
  • Bratti, R. T.; Darú, G. H.; Machado, C. S. G.; Pavanati, I.; Reis, E. C. S. O ensino da matemática através de jogos na perspectiva da neurociência com alunos do 3º ano do Ensino Fundamental. Paidós, v. 16, 2019.

Conference proceedings

  • Darú, G. H.; Pimentel, R.; Maldonado, M. U. Manufactured fabrics obsolescence risk evaluation of alternative policies in a textile industry. XIV CLADS — Congresso Latino-Americano de Dinâmica de Sistemas, São Paulo, 2016.

Completed advising (selection)

Final-year projects in Production Engineering and Computing, among them: applying genetic algorithms to bar-cutting production; a comparison between semantic search and textual search; evaluating production scenarios through simulation; multi-criteria decision-support models (PROMÉTHÉE) for supplier selection; and decision-support systems with constraint programming.

How to cite this book

This work has a DOI (Zenodo/DataCite) and is versioned by edition:

Darú, Gilsiley Henrique. Engenharia de Harness — Um livro vivo sobre o scaffolding que envolve agentes de IA. 2026. DOI: 10.5281/zenodo.21632412

The identifier accompanies the living work; each edition also receives its own version DOI. The human + AI co-authorship is declared in the note on authorship and method.

Profiles and contact

This page is part of the book's apparatus (back matter). The facts come from the Currículo Lattes, from the public professional profile and from verifiable sources; institutions and companies are cited as trajectory, not as endorsement. On the human + AI co-authorship of this work, see the note on authorship and method in the introduction.