Summary
Martin Simanjuntak is an architect and data-driven delivery leader with 30+ years of technical and project experience and a decade focused on data, AI and cloud-native solutions. Currently leading Oilfield Services digital data at Baker Hughes, he blends field engineering experience from Schlumberger with enterprise IT delivery (8 years at Accenture) to translate complex upstream workflows into pragmatic data platforms. He has designed streaming, event-driven trading and analytics systems on AWS using Kafka, Python and containerization, and led cloud migration and automation initiatives for major capital projects at ExxonMobil/RasGas. Skilled across data science, NLP and engineering data management, he uniquely pairs hands-on modeling (PyTorch, scikit-learn) with asset-management and IM domain expertise (IBM Maximo). Colleagues rely on him to bridge business and technical stakeholders, turning scientific methods into operational value in regulated, asset-intensive industries.
10 years of coding experience
20 years of employment as a software developer
B.Eng. Electronics & Telecommunications Engineering, B.Eng. Electronics & Telecommunications Engineering at Institut Teknologi Bandung
Data Science, Data Science at General Assembly
Postgraduate Diploma (PgDip) Oil and Gas Management - Aberdeen Business School, Postgraduate Diploma (PgDip) Oil and Gas Management - Aberdeen Business School at Robert Gordon University
Nanodegree ArtificiaI Intelligence for Financial Trading, Nanodegree ArtificiaI Intelligence for Financial Trading at Udacity
English, Indonesian