Augusto Yuri Villa

Machinery industry leader · Commercial strategy + applied research · Ag, construction & mining equipment · M.S. NC State · Data & AI

Agent of change for a sustainable future.

I bridge business strategy, engineering and applied AI to drive growth and innovation across industries. My experience at IPESA, Atlas Copco, Epiroc and Crumpler Plastic Pipe spans business management, team leadership, commercial strategy, product development, operational improvement and digital transformation. With an M.S. in Biological and Agricultural Engineering from NC State, I combine hands-on industry experience with research and data-driven methods to turn complex challenges into practical solutions.

Portrait of Augusto Yuri Villa

At a glance

20+ yearsin the machinery industry with John Deere, Atlas Copco and Epiroc lines, 2003 to today
4 sectorsagriculture, construction, industry and underground and surface mining
Global experiencebased in Peru, Mexico and the USA; commercial work, on site and virtual, with partners across Latin America, Europe and other regions
6 publicationsjournal articles, preprints and theses on machinery and machine learning

Selected projects

All projects · AI builds

Business & market · Epiroc Mexico · 2019–2020

Overhaul test center

Customers questioned the reliability of overhaul services. After a financial, technical and customer-satisfaction review, I proposed and launched a test center, using AI tools and analytics to detect performance deviations.

$2M in annual savings and more sales opportunities in Mexico

Machinery & engineering · Peru

Excavators for a hydroelectric tunnel

As project manager, I adapted Caterpillar M313D excavators with Atlas Copco hydraulic hammers and protection systems to work as scalers, then led the endurance test and aftermarket support.

3 years in operation with minimal issues

Data & AI · Epiroc Mexico · 2019

Mining market forecast

I built a Random Forest model in R with big-data sources to forecast yearly sales and trend changes in the Northwest Mexico mining market.

95% forecast accuracy

News

Nov 2026. Added my 2026 AI builds: PneuraCore products, 14 GitHub repositories and four Claude Code plugins.

Oct 2026. Published “Spatial Prediction of Tractor Noise and Detection of Atypical Sound Pressure Levels Using Machine Learning” in the Journal of Experimental and Theoretical Analyses (MDPI).

Apr 2026. Focused on applied research and independent R&D in applied AI for industry.

Mar 2026. Earned the AI Product Management Specialization (Duke University), after the IBM RAG and Agentic AI Professional Certificate in February.

Aug 2025. Featured in the NC State Biological and Agricultural Engineering Alumni Corner, on my path from the machinery industry to applied research.

Nov 2024. Published “Optimizing Soil Compaction Under Real-World Conditions and the Impact of Soil Moisture on Rammer Performance.”

2023. Completed my M.S. at NC State and presented my research at ASABE 2023 in Omaha, Nebraska.