Norway
Enterprise Architect and AI Platform Leader with 20+ years delivering digital transformation, industrial AI, and enterprise-scale architecture across energy, EPCIC, and manufacturing sectors in Norway and EMEA. Most recently served as Solution Architect on Aker BP’s Valhall PWP programme at Worley Rosenberg, leading enterprise integration across IFS, Oracle, and Azure within a live EPCIC delivery environment. Currently building Ablny Technologies AS in Stavanger, focused on AI-driven well integrity, digital twins, and CCUS decision-support systems for the Norwegian Continental Shelf. In 2026, Ablny Technologies was selected to pitch directly to Aker BP and Equinor through the Nordic Energy Matchbox programme. Our RACO-DAM research — an AI engine for CO₂ well placement and injection optimisation validated on the Johansen Formation — was accepted for presentation at the World CCUS Conference 2026 in Edinburgh, where I also serve on the Programme Committee for CO₂ Utilisation and Emerging Technologies. Previously directed €20M+ EU Horizon programmes across 7 countries and led enterprise architecture, AI/ML, ERP integration, and industrial data platform initiatives across energy, manufacturing, and infrastructure ecosystems. Alongside Ablny Technologies, I remain selectively open to senior architecture, transformation, and consulting engagements across energy, EPCIC, industrial AI, and CCUS domains where immediate operational and strategic impact is required. TOGAF · ISO 27001 Lead Implementer · CISA · NIS2 · OSDU · IEEE Published · Johns Hopkins Advanced PM
Ablny Technologies AS is my independent architecture and consulting practice, registered in Norway and operating across EMEA. Through Ablny I deliver applied AI, data platform, and digital transformation work for energy and industrial clients between and alongside senior engagements. 2026 milestones: — Selected through competitive screening (Nordic Energy Matchbox) to pitch AI well integrity SaaS platform directly to Aker BP and Equinor — currently in operator review — RACO-DAM paper accepted at World CCUS Conference 2026 (Edinburgh) — AI engine for CO₂ well placement and injection optimisation, validated on the Johansen Formation, NCS — Programme Committee Member, WCCUS2026 (CO₂ Utilisation & Emerging Technologies) Current technical focus: OSDU-compatible well data pipelines · physics-informed ML for well integrity · probabilistic risk scoring · AI-enabled CCUS analytics · NCS digital twin architecture Ablny also provides ERP advisory, solution architecture, and AI consulting to energy sector and industrial clients across Norway and EMEA.
Member of the scientific and programme committee for the World CCUS Conference 2026, curating submissions in CO₂ utilisation, carbon dioxide removal (CDR), and AI-enabled carbon management. Reviewing and selecting emerging technologies and research for global presentation. Collaborating with an international committee of energy, chemistry, and AI experts across academia and industry.
As IT Solution Architect at Worley, I have been responsible for designing and deploying scalable, cost-effective IT solutions that support offshore operations and EPCIC projects. By aligning technology architecture with business goals, I’ve delivered measurable impact across CAPEX-driven projects and strategic digitalization programs. Delivered as IT Solution Architect for Aker BP's Valhall PWP and Jotun offshore EPCIC programmes — one of the most operationally complex active production environments on the Norwegian Continental Shelf. Key Achievements: * Led end-to-end architecture for EPCIC digital transformation initiative, integrating IFS ERP, and Oracle across engineering, finance and project and related core departments, contributing to a 15–20% reduction in CAPEX and faster time-to-value. * Developed modern IT architecture that improved workflow efficiency and compliance tracking for offshore operations, enabling 25% faster digital reporting and reducing manual intervention. * Delivered a full-scope IT transformation project within 6 months—2 months ahead of schedule—resulting in improved system uptime and enhanced cross-departmental visibility. * Defined architectural frameworks for integrating IFS with cloud-native platforms (Azure/AWS), improving scalability and reducing long-term infrastructure costs by 30% OPEX. * Partnered with global stakeholders to ensure architectural decisions were aligned with cybersecurity standards (ISO 27001, GDPR), improving compliance scoring by over 40%.
PennyTrust Global Systems is a licensed financial inclusion and technology company delivering instant, unsecured, short-term loans through its digital credit platform, PennyTrust® Smart Credit. Leveraging alternative credit scoring algorithms and mobile-first technology, the platform addresses gaps in consumer credit and responsible retail lending across underserved markets. Role Overview: Providing strategic and technical leadership on a freelance/seasonal basis, helping build the platform, define cloud architecture, and design system security and compliance frameworks. Leading integrations with banking APIs and payment gateways to support high-volume financial transactions. Collaborating with regulatory stakeholders and guiding product development to ensure scalability, security, and real-time credit decision capabilities. Advising on software engineering best practices, SDLC, and enterprise-grade architecture to support responsible and rapid financial inclusion solutions.
Led and contributed to AI, Data Science, and Digital Transformation R&D projects across Istanbul Technical University’s engineering faculties and its Agricultural Informatics Research and Application Center (TARBIL). Oversaw applied research, product development, and consulting engagements spanning agriculture, environment, industrial systems, and smart manufacturing. Key Achievements • Directed and delivered data-driven R&D projects for national and international programs, including EU Horizon, ITEA, and ITU-TARBIL initiatives, focusing on AI, IoT, and cloud-based data management. • Designed “Data-as-a-Service (DaaS)” and “GPU with XaaS” architectures, achieving over 200% ROI on deployed digital/IoT platforms. • Developed predictive and analytical models for agricultural monitoring, sensor data analytics, and environmental forecasting, improving decision accuracy by 35%. • Applied AI, ML, and NLP methods—such as Bayesian analysis, k-means clustering, LDA, and stochastic modeling—for national-scale agricultural and environmental datasets. • Collaborated with multidisciplinary teams of engineers and scientists, delivering hybrid cloud data solutions with 100% scalability for government and research partners. • Advised on data governance, product roadmapping, and audit compliance, improving efficiency and profit margins by 30% in funded innovation projects. • Created strategies for digital product design, front-end integration, and mobile/web applications, boosting stakeholder adoption and impact visibility. Technical Stack & Skills: Python, R, MATLAB, TensorFlow, Scikit-Learn, SQL, Azure, AWS, Big Data, NLP, IoT, Predictive Maintenance, MLOps, Agile, SaaS, ERP, SDLC, Data Mining, Cloud Analytics, Human–Computer Interaction, Statistical Modeling, Research Methodology. Contributed to ITU’s mission of combining academic excellence and applied AI research to deliver practical, data-driven innovations for sustainability, industry, and digital transformation.