SELECTED WORK / 01—04
01
Embedded & real-time systems
Building a deep-tech function from zero.
02
Scalable marketplace platforms
Enabling modernisation across 14 brands.
03
AI, identity & fraud prevention
Capability for national infrastructure.
04
FinTech & resilient systems
Multidisciplinary teams built at pace.
CASE 01
RIVIAN / RVTECH · AUTOMOTIVE TECHNOLOGY · SWEDEN
PROBLEM
A new engineering organisation was entering Lund without a local team, hiring infrastructure or established position in the market. Critical Senior Manager and Staff-level roles had remained unresolved for more than two years.
REMIT
Establish the local hiring capability and build the foundational team around a narrow set of embedded and real-time engineering problems.
TEAM BUILT
Engineering leadership, Staff Engineers and specialists across embedded software, diagnostic algorithms, edge deployment and real-time systems.
IMPACT
Long-standing senior appointments were completed within six months, putting the technical leadership and specialist foundation in place for the local organisation to grow.
CAPABILITY MAP — EMBEDDED / EDGE
Vehicle Sensors
Edge & Diagnostics
Real-Time Response
TEAM LAYER
Engineering Manager · Staff Engineer · Embedded C++ · RTOS · Algorithms
Conceptual illustration of the capability required—not the client’s system architecture.
CASE 02
BLOCKET / VEND / SCHIBSTED · DIGITAL MARKETPLACES · NORDICS
PROBLEM
Marketplace platforms were evolving across different countries, services and leadership structures. As dependencies increased, teams needed clearer ownership and greater engineering depth without slowing delivery.
REMIT
Build the technical and leadership capability required for several brands to modernise in parallel, while strengthening how decentralised teams defined and assessed their needs.
TEAM BUILT
Engineering Directors and Managers established ownership. Backend, Full-Stack and Data Engineers developed the services and information foundations beneath brands including Blocket, FINN and Tori.
IMPACT
The portfolio gained the leadership and engineering depth to evolve multiple platforms at once. A Data Engineering hiring capability was established from zero, supporting continued growth beyond the immediate programme.
CAPABILITY MAP — MARKETPLACE / SCALE
Web & Mobile
Marketplace Services
Data Platform
TEAM LAYER
Engineering Director · Engineering Manager · Backend · Full Stack · Data Engineering
Conceptual illustration of platform capability and ownership—not the clients’ system architecture.
CASE 03
UK GOVERNMENT DIGITAL · IDENTITY & FRAUD PREVENTION · UNITED KINGDOM
PROBLEM
A national programme was modernising identity and fraud-prevention services used by more than 20 million people. Twelve squads needed specialist capability across machine learning, software and distributed systems.
REMIT
Define and build the technical capability required for cloud-native, API-first services operating around sensitive data, identity and unusual behaviour.
TEAM BUILT
Machine Learning Engineers, Java and Python Engineers, Cloud Specialists and Distributed-Systems Engineers. Competency frameworks gave teams consistent evidence for assessing specialist experience.
IMPACT
The programme gained the engineering capability and assessment standards needed to continue modernising nationally significant services across data, identity and fraud prevention.
CAPABILITY MAP — IDENTITY / DATA
Identity & Access Signals
Data & Anomaly Analysis
Trusted Decision
TEAM LAYER
Machine Learning · Java · Python · Cloud · Distributed Systems
Conceptual illustration of relevant capability—not the programme’s system architecture.
CASE 04
TIER-1 RETAIL BANK / KLARNA · FINTECH · UNITED KINGDOM & SWEDEN
PROBLEM
Financial products must remain dependable through traffic spikes, dependency failures and complex transaction flows. The organisations needed capability across architecture, software, data, quality and technical leadership—and, at Klarna, they needed it during an intensive growth period.
REMIT
Build multidisciplinary teams capable of developing and operating modern financial products while improving alignment around senior appointments.
TEAM BUILT
Engineering Leaders, Cloud Architects, Full-Stack Engineers, Machine Learning Specialists, Data Scientists, QA Automation Engineers and Product and Programme Leaders.
IMPACT
The retail bank gained the capability to move mobile-first products from transformation plans into working services. At Klarna, senior capability was added across engineering, product and programme functions within a five-month growth period.
CAPABILITY MAP — PAYMENTS / RESILIENCE
Customer Experience
Payment & Risk Services
Ledger & Observability
TEAM LAYER
Engineering Leadership · Cloud Architecture · Full Stack · Data Science · QA Automation
Conceptual illustration of resilient product capability—not the clients’ system architecture.
Vanburn · Sweden & Denmark
Important work deserves careful decisions.