Rashid Hatami

Developed and deployed AI systems for predictive maintenance, real-time anomaly detection, and mining operation optimization with high accuracy metrics, significantly reducing downtime, repair costs, and enhancing operational reliability. Led AI-driven initiatives integrating IIoT and machine learning to automate processes spanning rotating machinery health, rock fragmentation analysis, and copper smelting optimization. Implemented RAG-based knowledge assistants for semantic internal document retrieval. Spearheaded a comprehensive AI transformation roadmap for the mining industry, achieving measurable productivity improvements.

Led data analytics lifecycle projects, designing and implementing automated data collection infrastructures in harsh industrial environments. Developed real-time intelligent dashboards forecasting operational decisions, achieving process efficiency gains. Utilized web scraping to automate and integrate external and laboratory mining truck data, identifying critical engine-related challenges. Managed data preprocessing including cleaning, feature engineering to produce high-quality datasets for machine learning and dashboard solutions.