Core focus areas
- Software architecture and modernization
- Reliability engineering and incident reduction
- Security posture for edge-to-cloud systems
- Technical leadership and delivery governance
About
I work with leadership and engineering teams to reduce technical risk, increase delivery confidence, and build systems that stay maintainable under real-world pressure.
MSc in Computer Science and Informatics with experience across architecture, distributed systems, observability, and secure software delivery.
Contact: tb@tbcoding.dk · +45 22 39 34 91
Background and Approach
Many software systems fail at boundaries between architecture, operations, and ownership rather than from one isolated bug. My consulting approach is to make those boundaries explicit and improve the technical decisions that shape long-term reliability.
I hold an MSc in Computer Science and Informatics and have worked with architecture, distributed systems, security, and data platforms in both product and client-facing contexts.
I prioritize concrete outcomes: reduced incident pressure, clearer ownership, stronger delivery predictability, and technical decisions that remain maintainable over time.
Engagements are collaborative and direct. If a proposed technical direction is weak, I will say so clearly and provide practical alternatives with explicit tradeoffs.
Detailed Background
My formal background includes advanced university-level work in computer science, software architecture, distributed systems, secure programming, and machine learning. I combine this foundation with practical delivery experience in software systems that must run reliably in production environments.
I am especially interested in the intersection between system architecture, operations, and long-term quality: how technical decisions impact maintainability, incident frequency, and delivery speed over time.
I publish detailed references from real delivery work across secure IoT architecture, migration strategy, and production reliability.
Working Style
I work directly with engineering teams and decision-makers to reduce technical uncertainty and improve system outcomes. This includes architecture tradeoffs, implementation priorities, and alignment between technical scope and business objectives.
My delivery style is transparent and pragmatic: clear recommendations, explicit constraints, and fast feedback loops instead of vague strategy documents.
I have experience across both product and consulting environments, where context switching, communication clarity, and stakeholder alignment are essential for maintaining momentum.
If you want a practical view of how I approach technical architecture at depth, start with the Rust IoT gateway reference article.
Portfolio / Customer Cases
Representative engagements across architecture review, platform delivery, and reliability improvements.
Need similar outcomes in your environment? Book a free 20-minute strategy call.

My virtual power plant prototype consisted of a microservice-based data platform built using advanced technologies such as Apache Kafka, actor model programming in Scala, and Akka to leverage actors and advanced streaming.

This project focused on using deep learning for damage prognostics on aircraft engines. The project was part of a computer science course in artificial intelligence and deep learning.

This project was part of my final project for my Professional Bachelor’s degree in Software Development in January 2020, where I explored how data can be collected from vehicles and how such data can be used to improve safety and optimize the transportation industry.
Share your current setup and highest uncertainty. You will get a same-business-day reply with concrete next steps.