Verified recordOil and Gas

Michael Andreas

Artificial Intelligence Engineer at Pt Elnusa Tbk

Based in Kota Tangerang, Indonesia

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Seniority

Staff

Department

Information Technology

Location

Kota Tangerang

Industry

Oil and Gas

Company size

5.4K

Contact information

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Email

1 credit

m•••••••@elnusa.co.id

Phone

5 credits

+62 ••• •••• ••••

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Background

About Michael Andreas

A results-driven Technology Engineer with expertise in predictive analytics, IoT systems, and enterprise solutions. I specialize in developing AI-powered applications and sensor integration systems that transform operational efficiency across industrial domains. My experience encompasses several high-impact projects, including: IoT Project for Water Quality Monitoring: Engineered a comprehensive data encryption and processing system with Arduino-based pH, TDS, and temperature sensors, achieving 98% monitoring accuracy for critical water parameters in aquaculture applications. Real-Time Traffic Detection System: Developed an AI-powered traffic monitoring solution utilizing vehicle-mounted image sensors and Deep Neural Networks, delivering 95% accuracy in congestion detection and object classification across diverse conditions. UNIKOM Icon Robot Development: Architected an intelligent obstacle avoidance system using YOLO-based AI, image processing, and infrared sensors, achieving 99% accuracy in object detection up to 8-meter range. Nusa Cyber: Successfully implemented machine learning algorithms for predictive maintenance and asset safety stock predictions, featuring advanced anomaly detection and failure prediction models. This innovative solution earned Silver rewards at ELNUSA's Continuous Improvement Program (CIP) by optimizing maintenance schedules through real-time asset condition monitoring. Currently serving as a Full Stack Developer specializing in enterprise asset management systems, where I architect and implement comprehensive solutions that bridge the gap between operational technology and information systems. My expertise in both front-end and back-end development, combined with deep understanding of industrial asset optimization, enables me to deliver scalable solutions that drive digital transformation initiatives. My multifaceted technical background and demonstrated success in implementing data-driven solutions position me as a key contributor in advancing technological innovation within industrial operations.

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