Ahmad Afif Amiruddin
About Ahmad Afif Amiruddin
Ahmad Afif Amiruddin is a Mechanical Integrity Engineer at ExxonMobil, with a background in Mechanical Engineering from the University of Malaya.
Title: Mechanical Integrity Engineer
Ahmad Afif Amiruddin currently works as a Mechanical Integrity Engineer at ExxonMobil in Malaysia. Joined in 2023, Ahmad has been instrumental in contributing to various projects related to mechanical integrity and risk-based inspections at multiple sites.
Education and Expertise
Ahmad Afif Amiruddin studied Mechanical Engineering at the University of Malaya, earning a Bachelor of Engineering (Hons) from 2019 to 2023. Prior to that, he completed his Pre-University/Foundation in Physical Sciences at the University of Malaya from 2018 to 2019. His secondary education was at SMKA Dato’ Haji Abu Hassan Haji Sail, where he studied Pure Science and achieved an Sijil Pelajaran Malaysia from 2013 to 2017.
Professional Background
Prior to joining ExxonMobil, Ahmad Afif Amiruddin worked as a Process Engineer at Wistron in Klang, Selangor, Malaysia in 2022 for two months. His role included optimizing process engineering tasks and collaborating on project coordination.
Project Coordination at ExxonMobil
Ahmad Afif Amiruddin served as the Point of Contact for project coordination and strategy execution between KL Technology Centre, Bangalore Technology Centre, and Singapore sites. He was responsible for implementing Risk-Based Inspection strategies for fixed equipment and piping across multiple Singapore ExxonMobil sites.
Cost-Saving Initiatives and Risk-Based Optimization
Ahmad played a significant role in cost-saving initiatives at ExxonMobil. He achieved an 88% reduction in inspection tasks for small bore pipings, generating savings of half a million US dollars. By employing the Bayesian model approach, he analyzed equipment degradation and recovered $100,000 by deferring unnecessary inspections. Additionally, he optimized requirements for over 13,000 piping structures using risk-based approaches, recovering more than $100,000. His analysis of over 6,000 past inspection and failure data using JMP has potentially generated over a million dollars in value by predicting and proposing future degradation mechanisms.