Yair Gonzalez

Maintenance & Reliability Engineer with experience in Tier 1 automotive environments, focused on equipment availability, downtime reduction, and spare parts optimization. Provides technical support in electrical, mechanical, electronic, and programming-related repairs, using a data-driven approach (CMMS, Excel, Python) to improve reliability, costs, and operational performance

LS Automotive – Specialist, Machine Availability & Reliability (2022–2025) Ensured high machine availability, run rate, and operational performance across production lines in compliance with IATF 16949. Analyzed downtime and reliability KPIs (MTTR, MTBF, OEE, downtime rate) to drive Root Cause Analysis and continuous improvement actions. (Reduced downtime and stoppages by 24%). Achieved measurable downtime reduction by analyzing spare parts purchasing, usage, and criticality, optimizing the maintenance spare parts budget. (Repeatability decreased due to part issues by 30%).

Designed and implemented spare parts, downtime, and reliability control methodologies, strengthening preventive maintenance planning. (Using Core tools, CAPA, and 8D) Led CMMS (MP10) implementation, improving preventive maintenance compliance, asset traceability, work order execution, and data integrity. Supported MPA, 5-Star, and customer audits, ensuring evidence readiness, corrective action tracking, and timely closure. (Closing 100% of points scored by customers). Managed new equipment tracking, fixed assets, and machinery technical documentation, supporting new line launches and stable ramp-up.

Academic training focused on the design, simulation, and implementation of electronic, mechanical, and pneumatic systems. Strong programming foundation in Python (AI fundamentals), C++, MATLAB, Arduino, STM32, PLC basics, and industrial CAD tools.