Working as a senior management consultant and researcher. Mainly focusing on data strategy, data management, and governance projects, as well as implementing tools that support organisations with data management and governance activities and data quality management, such as Microsoft Purview and Unity Catalog. Enabling different domains in organisations to utilise and democratise data to strengthen organisations' business capabilities. Working on creating customised data governance frameworks based on the CDMC framework for organisations. General support and development of business intelligence and migration projects.Clients:PostNord:As a member of the Data Governance Council at PostNord, I was involved in the implementation of tools and procedures related to data management and governance. Microsoft Purview was implemented and configured as the selected tool. Data management procedures were created to supplement the functionality of the tools. Furthermore, I investigated the state-of-the-art helping PostNord scaling data-intensive platforms and products in the organisation.Fitness24Seven:The project included migrating existing databases and systems to Microsoft Azure and implementing a business intelligence solution for Fitness24Seven. I was involved in designing and implementing the data models, the reports, and the underlying data sources. Furthermore, we engaged in an assessment of the organisation to help them with data management activities and identify the gaps to improve existing practices through the use of the CDMC framework.Ledarna:The project included the migration of the data platform for collecting surveys from Qlik Sense and their official website to Microsoft Azure and the creation and implementation of a new business intelligence solution for Ledarna. I was involved in designing the data model and implementing the reports in Microsoft Power BI.

Research collaboration with BTH on: - Scaling Platforms for Data-Driven Organisations- Regulatory Compliance (Development of requirements engineering method for specification of GDPR compliant software systems)- Threat Modeling of ML Integrations into Software Systems- Practical Applications of Large Language Models in Software Engineering

Empirical research on various software engineering topics in collaboration with industrial partners, including Spotify, Fortnox, Ericsson, PostNord, and Redeploy.Topics: Data-Intensive Products and Services, Asset Management - Software Architecture - Technical Debt - Developer Contribution - Regulatory Compliance - Threat Modeling for Machine Learning Integration - Applications of Large Language Models in Software Engineering

Empirical research on various software engineering topics in collaboration with industrial partners, including Spotify, Fortnox, Ericsson, PostNord, and Redeploy.Topics: Data-Intensive Products and Services, Asset Management - Software Architecture - Technical Debt - Developer Contribution

Working mainly with Platform Insights on the following topics: Team Congestion - Ownership and Contribution Alignment - Information DiffusionSummary: Data collection through Google Cloud Platform and GitHub Enterprise API endpoint to analyse team congestion and ownership and contribution alignment.

Working on the following topics: Technical Debt and Asset Management - Ownership and Contribution Alignment - Architectural Dependencies - Organisation and Architecture AlignmentSummary: Data collection through multiple API endpoints such as Git, BitBucket, Jira, and SonarQube. Quantitative and qualitative analysis of components regarding the issues related to technical debt, architectural dependencies, organisational restructuring, and ownership and contribution alignment.

Working as a Senior Management Consultant.Clients:Fitness24Seven:The project included migrating existing databases and systems to Microsoft Azure and implementing a business intelligence solution for Fitness24Seven. I was involved in designing and implementing the data models, the reports, and the underlying data sources. Furthermore, we engaged in an assessment of the organisation to help them with data management activities and identify the gaps to improve existing practices through the use of the CDMC framework.Ledarna:The project included the migration of the data platform for collecting surveys from Qlik Sense and their official website to Microsoft Azure and the creation and implementation of a new business intelligence solution for Ledarna. I was involved in designing the data model and implementing the reports in Microsoft Power BI.

Thesis title: Understanding Asset Degradation in Software EngineeringThe research presented in the thesis is on the topic of assets in software engineering, their definition, asset identification, and understanding of their degradation. Software assets are intangible assets that are crucial to many organisations and enable them to differentiate their products and services from competitors. Therefore, the management of such assets is becoming increasingly important to organisations.Thesis available online: https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1749696&dswid=-8402Supervisors: Assoc. Prof. Dr. Javier Gonzalez Huerta, Prof. Dr. Darja \v{S}mite, and Prof. Dr. Tony GorschekCourse Responsible - Lecturer: Software Architecture and Quality Course (PA1454 - PA1453)Programs:Masters Degree in Software Development - Civilingenjör i mjukvaruutvecklingMasters Degree in Game and Software Development - Civilingenjör i spel- och programvaruteknikMasters Degree in AI and Machine Learning - Civilingenjör i AI och maskininlärningMasters Degree in Software DevelopmentMasters Degree in Software EngineeringBachelors Degree in Software EngineeringLab Manager at Ericsson Space for Software Engineering Lab.

Working on the following topics: Technical Debt and Asset Management - Ownership and Contribution AlignmentSummary: Data collection through multiple API enpoints such as Git, Gerrit, and SonarQube. Quantitative and qualitative analysis of components regarding the issues related to technical debt and ownership and contribution alignment.

Working on the following topics: Technical Debt and Asset ManagementSummary: Research on establishing software assets through interviews and workshops.

Course: Introduction to Artificial Intelligence (AI) - COMP341.

Working on detecting the Flow State in activities using wearable devices' data with machine learning and deep learning approaches.

Project: Investigating the Neural Basis of Attention in the Fruit Fly Drosophila Melanogaster - TUBITAK SOBAG [114K826].

Project: Investigating the Neural Basis of Attention in the Fruit Fly Drosophila Melanogaster - TUBITAK SOBAG [114K826].