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Fabian Vakhidi is a Data Engineer and AI specialist with over four years of experience building enterprise software, machine learning systems, and large-scale cloud platforms. Currently at Cegal, he designs and implements scalable, cloud-native data solutions for oil & gas and energy clients, with strong expertise in Microsoft Azure, Microsoft Fabric, event-driven architectures, and AI-enabled data platforms. With an MSc in Mechanical Engineering (Robotics and AI) from NTNU, Fabian combines a rigorous engineering foundation with deep applied knowledge in machine learning, computer vision, and production-grade ML systems. He has led ML integrations in SAP environments, built RAG pipelines using high-performance vector stores, and deployed GPT-based solutions for enterprise automation. His background spans real-time systems, HPC workflows, DevOps, and API-first architectures, enabling him to deliver reliable, scalable, and cost-efficient solutions in complex environments. Fabian operates at the intersection of data engineering, AI systems, and enterprise architecture, focused on building robust foundations for advanced analytics and intelligent automation.…Fabian Vakhidi is a Data Engineer and AI specialist with over four years of experience building enterprise software, machine learning systems, and large-scale cloud platforms. Currently at Cegal, he designs and implements scalable, cloud-native data solutions for oil & gas and energy clients, with strong expertise in Microsoft Azure, Microsoft Fabric, event-driven architectures, and AI-enabled data platforms. With an MSc in Mechanical Engineering (Robotics and AI) from NTNU, Fabian combines a rigorous engineering foundation with deep applied knowledge in machine learning, computer vision, and production-grade ML systems. He has led ML integrations in SAP environments, built RAG pipelines using high-performance vector stores, and deployed GPT-based solutions for enterprise automation. His background spans real-time systems, HPC workflows, DevOps, and API-first architectures, enabling him to deliver reliable, scalable, and cost-efficient solutions in complex environments. Fabian operates at the intersection of data engineering, AI systems, and enterprise architecture, focused on building robust foundations for advanced analytics and intelligent automation.

Fabian Vakhidi

PRO

AI Engineer, AI Developer, Cloud Developer, +1

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Fabian Vakhidi is a Data Engineer and AI specialist with over four years of experience building enterprise software, machine learning systems, and large-scale cloud platforms. Currently at Cegal, he designs and implements scalable, cloud-native data solutions for oil & gas and energy clients, with strong expertise in Microsoft Azure, Microsoft Fabric, event-driven architectures, and AI-enabled data platforms. With an MSc in Mechanical Engineering (Robotics and AI) from NTNU, Fabian combines a rigorous engineering foundation with deep applied knowledge in machine learning, computer vision, and production-grade ML systems. He has led ML integrations in SAP environments, built RAG pipelines using high-performance vector stores, and deployed GPT-based solutions for enterprise automation. His background spans real-time systems, HPC workflows, DevOps, and API-first architectures, enabling him to deliver reliable, scalable, and cost-efficient solutions in complex environments. Fabian operates at the intersection of data engineering, AI systems, and enterprise architecture, focused on building robust foundations for advanced analytics and intelligent automation.…Fabian Vakhidi is a Data Engineer and AI specialist with over four years of experience building enterprise software, machine learning systems, and large-scale cloud platforms. Currently at Cegal, he designs and implements scalable, cloud-native data solutions for oil & gas and energy clients, with strong expertise in Microsoft Azure, Microsoft Fabric, event-driven architectures, and AI-enabled data platforms. With an MSc in Mechanical Engineering (Robotics and AI) from NTNU, Fabian combines a rigorous engineering foundation with deep applied knowledge in machine learning, computer vision, and production-grade ML systems. He has led ML integrations in SAP environments, built RAG pipelines using high-performance vector stores, and deployed GPT-based solutions for enterprise automation. His background spans real-time systems, HPC workflows, DevOps, and API-first architectures, enabling him to deliver reliable, scalable, and cost-efficient solutions in complex environments. Fabian operates at the intersection of data engineering, AI systems, and enterprise architecture, focused on building robust foundations for advanced analytics and intelligent automation.

Available to hire

Stavanger, Norway

Fabian Vakhidi is a Data Engineer and AI specialist with over four years of experience building enterprise software, machine learning systems, and large-scale cloud platforms. Currently at Cegal, he designs and implements scalable, cloud-native data solutions for oil & gas and energy clients, with strong expertise in Microsoft Azure, Microsoft Fabric, event-driven architectures, and AI-enabled data platforms.

With an MSc in Mechanical Engineering (Robotics and AI) from NTNU, Fabian combines a rigorous engineering foundation with deep applied knowledge in machine learning, computer vision, and production-grade ML systems. He has led ML integrations in SAP environments, built RAG pipelines using high-performance vector stores, and deployed GPT-based solutions for enterprise automation.

His background spans real-time systems, HPC workflows, DevOps, and API-first architectures, enabling him to deliver reliable, scalable, and cost-efficient solutions in complex environments. Fabian operates at the intersection of data engineering, AI systems, and enterprise architecture, focused on building robust foundations for advanced analytics and intelligent automation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Norwegian

Fluent

English

Fluent

Work Experience

Data Engineer at Cegal

January 1, 2026 - Present

Designing and implementing scalable, cloud-native data platforms for oil & gas and energy clients with complex enterprise environments; well-versed in Microsoft Fabric, modern Event-Driven Architecture (EDA), and AI-enabled data solutions — building robust data foundations that support advanced analytics, real-time processing, and enterprise-grade AI use cases; contributing to data platform architecture, system integration, and governance frameworks to enable reliable, secure, and production-ready data ecosystems.

Senior Software Developer at S5 Consulting

May 1, 2024 - January 1, 2026

Led ML system integration on enterprise cloud platforms, focusing on model deployment, inference optimization, and scalability; architected and deployed data-driven systems optimized for performance, cost-efficiency, and reliability in production; integrated GPT-based language models into SAP environments for task automation using prompt orchestration and action chain; implemented RAG pipelines using SAP HANA as a high-performance vector store for business-critical queries.

Software Developer at Deloitte

August 1, 2022 - May 1, 2024

Designed and deployed backend infrastructure to support ML-driven services, including distributed APIs for real-time analytics and automated data pipelines; collaborated in designing and developing backend systems, microservices, scalable frontends, with API-first architecture and reliable data pipelines; integrated complex APIs across distributed services, gaining a strong grasp of inter-service communication, latency management, and fault propagation in production systems.

Teaching Assistant at NTNU

January 1, 2022 - June 1, 2022

Supported the delivery of a graduate-level course on robotics vision, geometric methods, and camera calibration, with emphasis on real-world applications in industrial robotics; guided students through end-to-end implementation of 2D/3D vision models and real-time pose estimation pipelines using PyTorch and OpenCV; mentored students and facilitated development of ML models for object detection and localization in robotic systems; supervised mini-projects involving stereo vision, sensor fusion, and inverse kinematics using OpenCV, ROS, and NumPy.

Intern, Digitalization and Automation at Equinor

June 1, 2021 - August 1, 2021

Developed a digital utility management system to support the monitoring and deployment of robotic and drone infrastructure onshore in oil & gas; designed scalable, cloud-integrated components for real-time equipment tracking, resource allocation, and predictive maintenance using Python and modern data tooling; collaborated with field engineers and data scientists to integrate machine learning models for fault detection, significantly reducing operational downtime.