Education
| 1967—1976 | Compulsory school. Grundskola, Hagebyskolan, Norrköping. |
| 1976—1979 | Upper secondary school. Natur, De Geer Gymnasium, Norrköping. |
| 1980—1984 | University. Fysikerlinjen. Institute of Physics, Uppsala University. |
| 1988 | Licentiate degree, Physics. ”Electrical and computer applications in electron spectroscopy”. Institute of Physics, Uppsala University |
| 1991 | PhD, Physics, Physics. ”Development of instrumentation and data acquisition systems for charged particle spectroscopy. High resolution studies of atoms and small molecules”. Institute of Physics, Uppsala University. |
Postgraduate education
| 2024 | Leading Change. University of Skövde, School of Business |
| 2024 | Behaviour change for sustainability. Blekinge Institute of Technology, Department of Strategic Sustainable Development |
| 2024 | Social Sustainability in Product- and Service Development. Blekinge Institute of Technology, Department of Strategic Sustainable Development. |
Military Education
| 1980 | Sergeant. Compulsory military service. A7, Visby. |
| 1980 | Second lieutenant. Compulsory military service. A6, Jönköping. |
| 1982 | Lieutenant. Reserve, I16 Halmstad. |
| 1995 | Captain. Reserve, ArtSS, Älvdalen. |
Employments
| 1983—1991 | Research Assistant, Lab Assistant and Teacher at the Insitute of Physics, Uppsala University. |
| 1984—1985 | Development engineer. Scienta Instrument AB, Uppsala. Development of data acquisition systems for exectron spectrometers. |
| 1988—1989 | Research Assistant. FOI, Swedish Defence Research Agency, Stockholm. Development of distributed run-time system for civil and military data acquisition systems. |
| 1991—1992 | Development Engineer. Bofors Elektronikindustrier AB, Järfälla. Teacher in ADA programming and development environments. |
| 1992—1994 | Techical Representitive, Rational Software Nordic AB. Technical pre-sales and services. |
| 1994—1995 | Software Engineer, Rational Software Nordic AB. Software Engineer in Rose Business Unit. Responsible for Rational Rose/Visual Basic development.  |
| 1995-2001 | Development Manager, Rational Software Nordic AB Department/Site Manager and Development Manager for Rational Rose development in Kista, Sweden. Product Manager, Rational Rose Professional Visual Basic. Microsoft Visual Modeler 1.0 och 2.0. Rational’s XDE Language integrations (Round-Trip Engineering) in Microsoft .NET / C#, VB.NET, J#.  |
| 2002—2003 | Technical Sales Account Manager, Ericsson Corporate Account, Rational Software Nordic AB. Responsible for Rational technical solution sales and services for Ericsson account. |
| 2004—2005 | Swedish Technical Sales Manager, IBM Rational and Ericsson Corporate Account, Rational Software, IBM Software Group, IBM Svenska AB. Responsible for IBM SWG technical solution sales and services for Ericsson account. (Rational, WebSphere, DB2, Tivoli, Lotus).  |
| 2005—2006 | Nordic Technical Sales and Service Manager, Rational Software, IBM Software Group, IBM Svenska AB. Responsible for Rational technical solution and services sales in Nordic (Sweden / Finland / Norway / Denmark). |
| 2006—2010 | Senior Product Manager / Solution Architect Green Thread Team, IBM Rational Software Development Lab. Responsible for driving IBM Rational solution strategy in the areas of Geographically Distributed Development and Application Lifecycle Management.  |
| 2010 | Manager, System Workbenches, IBM Rational Software Development Lab. Responsible for driving IBM Rational product strategy for Rational Workbenches for Systems. |
| 2010—2012 | Project Manager - Systems Development, SMHI, Norrköping. Responsible for development of Media and Energy products.  |
| 2012—2015 | Design lead. Rational Design Factory, IBM Rational Software Development Lab. Responsible for developing Systems and Software Engineering solution scenarios.  |
| 2015—2017 | Senior Design Lead IBM Watson Internet of Things IBM Design Responsible for user research and user experience strategies for IBM Internet of Things Foundation platform. |
| 2017—2019 | Senior Technical Staff Member – STSM Senior Design Lead – Watson Internet of Things Platform. Responsible for Watson Internet of Things Platform design. IBM Watson and Cloud Platform  |
| 2019—2020 | Senior Technical Staff Member – STSM Senior Design Lead – IBM Maximo Asset Monitor. IBM Cloud and Cognitive |
| 2020—2022 | Design Strategist & STSM IBM AI Applications - Asset management and engineering. IBM Cloud and Cognitive |
| 2022– | IBM Sustainability Software IBM Cloud and Cognitive  |
Awards
Awarded Visual Basic Programmers Journal Award 1997. Rational Rose and Rational Visual Test.
Awarded Rational Software, Founders Club Award, 2003.
Awarded Rational Software, Hundred Procent Club Award, 2004.
Awarded IBM Software Group, Swedish Technical Manager of the Year Award, 2004.
Awarded IBM Nordic, Team of the Year Award, 2004.
Awarded IBM Golden Circle Award, 2005. IBM Sales and IBM Consulting’s highest level of business recognition and honors the outstanding achievements and outcomes of our top seller and consultant contributors.
Awarded IBM Bravo Award, 2008. Going above and beyond for the CQ ALM Schema initiative.
Awarded IBM Eminence and Excellence Award 2014.
Awarded IBM Managers Choice Award 2015.
Awarded IBM Managers Choice Award 2018.
Awarded IBM Managers Choice Award 2019.
Awarded IoT Superhero Award 2019.
Awarded IBM Outstanding Technical Achievement Award 2021.
Awarded GOLD WINNER in the 2021 Spark Pro Design Award for Digital Design.
Awarded IBM Tech 2023 Award.
Awarded IBM Culture Catalyst 2023 Award.
Patents
Patent Application Title: Automated IOT Device Registration
Patent No.: US 11,356,440 B2
Date of Patent: Jun. 7, 2022
Download as PDF
Badges and Certifications
Enterprise Design Thinking Coach
Issued by IBM
This badge holder supports and helps to lead the Enterprise Design Thinking effort in their teams. The earner designs the approach, runs plays, and helps the team play the Enterprise Design Thinking game.
Enterprise Design Thinking Co-Creator
Issued by IBM
As a Co-Creator, the badge earner is an active contributor on Enterprise Design Thinking engagements. They help bring real-world user outcomes to life by growing collaboration skills and finding opportunities to step up and lead.
Enterprise Design Thinking Practitioner
Issued by IBM
The earner has acquired knowledge of applying Enterprise Design Thinking and its value. As a Practitioner, the badge earner finds opportunities to try it out in their every day work. The earner has acquired knowledge of applying Enterprise Design Thinking and its value. As a Practitioner, the badge earner finds opportunities to try it out in their every day work.
Enterprise Design Thinking for Sustainability
Issued by IBM
This credential earner has demonstrated proficiency in incorporating sustainability in their application of Enterprise Design Thinking working with clients and on their own products. The earner has demonstrated an understanding of the practical application of sustainability to problem frame and address user needs and can incorporate sustainability into business design with clients. They are also able to facilitate Enterprise Design Thinking workshops with a sustainable mindset.
Enterprise Design Thinking – Team Essentials for AI
Issued by IBM
This badge earner has demonstrated proficiency in using Enterprise Design Thinking concepts and activities to design responsible artificial intelligence systems with intention and a focus on people.
Design & User Experience (D&UX) Essentials
Issued by IBM
Badge earners will be able to demonstrate foundational knowledge of Design & User Experience (D&UX) Reviews to become an active proponent of DUX standards. Badge earners will be able to demonstrate foundational knowledge of Design & User Experience (D&UX) Reviews to become an active proponent of DUX standards.
Advancing Accessibility
Issued by IBM
Accessibility is the over-arching topic under which there are several distinct, separate disciplines: Design, Test, Development (Software, Hardware, and Mobile), Project/ Relationship Management, etc. The badge earner has acquired fundamental and discipline-specific knowledge for designing and developing acessible products, helping IBM maintain its commitment to making its information technology available and usable, regardless of the ability of the user.
IBM Agile Achiever
Issued by IBM
The Agile Achiever is recognized for their Agile knowledge and experience. They mentor their teams in agile practices, act as Iteration Managers or Product Owners, and they are sophisticated in their use of Agile practices. They pull from one funnel of work and are flexible from iteration to iteration.
IBM Agile Advocate
Issued by IBM
The Agile Advocate has the capability to discuss Agile values and principles and has begun applying the Agile practices to their daily activities. They hold stand-ups, conduct retrospectives, and can visualize their wall of work. They know the different Agile roles and understand how they interact together to bring continual value to their customers.
IBM Agile Explorer
Issued by IBM
The Agile Explorer has a foundational understanding of Agile values, principles, and practices that allows them to initiate an Agile conversation with co-workers and colleagues. This badge is available to IBM employees only.
IBM AI Skills Academy Deep Learning Practitioner
Issued by IBM
Earners experience a blended learning curriculum as they complete the Coursera series started in the Deep Learning Explorer Pod. They learn about IBM’s garage model in AI, considerations to operationalize AI, learn from experts in the field, and meet with SMEs weekly during office hours. They apply neural network architectures and algorithms and compare and review results with peers and SMEs. Earners have demonstrated the application of the skills by completing and presenting a final project.
IBM AI Skills Academy Deep Learning Explorer
Issued by IBM
Badge earners have an essential understanding of AI, including IBM’s AI portfolio, competitive landscape, use cases across industries, AI concepts, ethics in AI, AI frameworks, operationalizing AI, data visualization, and neural networks. Badge earners also have the foundational knowledge of the math and science that powers deep learning and can begin to identify ways in which AI can be applied in the workflow of a business.
Neural Networks and Deep Learning
Issued by Coursera
Introduction to deep learning.
Analyze the major trends driving the rise of deep learning, and give examples of where and how it is applied today.
Neural network basics.
Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models.
Shallow neural networks.
Build a neural network with one hidden layer, using forward propagation and backpropagation.
Deep neural networks.
Analyze the key computations underlying deep learning, then use them to build and train deep neural networks for computer vision tasks.
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Issued by Coursera
Practical aspects of deep learning.
Discover and experiment with a variety of different initialization methods, apply L2 regularization and dropout to avoid model overfitting, then apply gradient checking to identify errors in a fraud detection model.
Optimizing algorithms.
Develop your deep learning toolbox by adding more advanced optimizations, random mini-batching, and learning rate decay scheduling to speed up your models.
Hyperparameter tuning, batch normalization and programming frameworks.
Explore TensorFlow, a deep learning framework that allows you to build neural networks quickly and easily, then train a neural network on a TensorFlow dataset.
Convolutional Neural Networks
Issued by Coursera
Foundations of convolutional neural networks.
Implement the foundational layers of CNNs.
Deep convolutional model: Case studies.
Discover some powerful practical tricks and methods used in deep CNNs, straight from the research papers, then apply transfer learning to your own deep CNN.
Object detection.
Apply your new knowledge of CNNs to one of the hottest fields in computer vision: object detection.
Special applications.
Face recognition and neural style transfer.
Sequence Models
Issued by Coursera
Recurrent neural networks.
Discover recurrent neural networks, a type of model that performs extremely well on temporal data, and several of its variants, including LSTMs, GRUs and Bidirectional RNNs.
Natural language processing and word embeddings.
Natural language processing with deep learning is a powerful combination. Using word vector representations and embedding layers, train recurrent neural networks with outstanding performance across a wide variety of applications, including sentiment analysis, named entity recognition and neural machine translation.
Sequence models and attentions mechanism .
Augment your sequence models using an attention mechanism, an algorithm that helps your model decide where to focus its attention given a sequence of inputs. Then, explore speech recognition and how to deal with audio data.
Transformer networks.
Structuring Machine Learning Projects
Issued by Coursera
L Strategy.
Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities
Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning.
Multi AI Agent Systems with crewAI
Issued by DeepLearning.AI and CrewAI
Learn key principles of designing effective AI agents, and organizing a team of AI agents to perform complex, multi-step tasks. Apply these concepts to automate 6 common business processes.
Role-playing: Assign specialized roles to agents
Memory: Provide agents with short-term, long-term, and shared memory
Tools: Assign pre-built and custom tools to each agent (e.g. for web search)
Focus: Break down the tasks, goals, and tools and assign to multiple AI agents for better performance
Guardrails: Effectively handle errors, hallucinations, and infinite loops
Cooperation: Perform tasks in series, in parallel, and hierarchically
Data Science Foundations – Level 1
Issued by IBM
This badge earner has an understanding of the possibilities and opportunities that data science, analytics and big data bring to new applications in any industry.
Data Science Methodologies
Issued by IBM
This badge earner understands the essential steps used in data science business and research problem solving. This includes problem definition, collecting and analyzing data, building relevant models and understanding model deployment results.
First Patent File
Issued by IBM
This badge is awarded to an inventor for their first application filed with the U.S. Patent & Trademark Office. This badge encourages first-time inventors to join IBM’s patent process.
Patent Issuance – IBM Patents & Invention Program
Issued by IBM
This badge is awarded to an inventor for the first patent prosecuted through the U.S. Patent & Trademark Office resulting in a patent issuance.
Maximo Asset Management
Issued by IBM
This badge holder has a good understanding of the asset configuration and asset life cycle practices using Maximo. The individual is able to discuss the usage of Asset Subassemblies, Failure codes and Metering.
IBM Watson IoT Platform – Connection Service
Issued by IBM
This badge earner has demonstrated basic knowledge of the IBM Watson IoT Platform connection service and how to connect a device, capture data from the device, and prepare the data for analytics.
Overview of IBM Watson IoT Platform
Issued by IBM
This badge earner has demonstrated basic knowledge of IBM Watson IoT Platform, and is able to describe its value to customers, articulate unique capabilities, and describe basic use cases. This badge earner has demonstrated basic knowledge of IBM Watson IoT Platform, and is able to describe its value to customers, articulate unique capabilities, and describe basic use cases.
IBM watsonx Foundations
Issued by IBM
The successful badge earner can describe the IBM watsonx platform and distinguish between watsonx.ai, watsonx.data and watsonx.governance. The badge earner also has a basic understanding of foundation models and generative AI and can construct effective prompts in the Prompt Lab. Skills – Foundation model, Generative AI, Lange language models, Prompt engineering, watsonx, watsonx.ai, watsonx.data, and watsonx.governance.