Juggling a few hats here:- Leading development of applied machine learning tools with a focus on computer vision.- Investigating means of tackling concept drift for ML models in production. - Innovation Incubator under PETRONAS Innovation Engine, focused on identifying opportunities in the EV space.

• Conduct applied research to tackle diverse upstream and downstream technical challenges in oil and gas from a machine learning perspective• Work with SMEs from multiple disciplines to translate domain-specific business requirements into realistic machine learning projects• Deploy prototyped tools to production• Research lead for line deparment data-driven predictive and prescriptive maintenance system• Engieering lead for deployment of aforementioned system as internal product for use by end users

• Extended the concept of transient drainage volume as defined by the MCERI research group at Texas A&M University to be applied to transverse fractures in horizontal wells• Applied well testing concepts to combine the transient drainage volumes of multiple fractures into a representative composite drainage volume with incorporating fracture interference effects