Driving Business Transformation with Cloud, Data, and AI
Principal Solutions Architect & Technical Manager | Cloud, Data & Applied AI
I help organizations design, build, and scale modern digital platforms by combining technical leadership with hands-on architecture and development.
About Me
I'm a technology professional with experience leading products and platforms from early R&D to large-scale production used by thousands of customers. My background spans cloud architecture, data platforms, and applied AI, with a focus on building solutions that create real business impact. I've worked across NanoTech, MedTech, Telecom, Automotive, Oil & Gas, Mining, Steel, and Dairy industries.
My Approach
I combine strategic thinking with deep architectural knowledge and hands-on engineering. My work spans from early discovery with C-level stakeholders to detailed solution design with engineering and R&D teams, through to launch and ongoing operation of live services. As a freelancer, I support both established enterprises and fast-moving startups.
Career Highlights & Expertise
Sep 2023 - Present · 2 yrs 3 mos
Principal Solutions Architect & Technical Manager | Cloud, Data & Applied AI
Freelance
Munich, Bavaria, Germany · Remote
I help organizations design, build, and scale modern digital platforms by combining technical leadership with hands-on architecture and development. My work spans from early discovery with C-level stakeholders to detailed solution design with engineering and R&D teams, through to launch and ongoing operation of live services. My projects typically involve designing cloud architectures, implementing AI-driven features, and guiding teams through complex technical decisions. I enjoy working across strategy and engineering—translating business goals into clear technical direction and ensuring solutions are reliable, scalable, and maintainable. Typical responsibilities: • Leading technical strategy and architecture across cloud, hybrid, and on-prem environments • Working directly with executives to define vision, roadmap, and business value • Supporting engineering teams with hands-on prototyping, architecture, and implementation • Designing AI and RAG-based features using Claude, Bedrock, Python, and modern retrieval patterns • Structuring and modeling enterprise data for analytics and AI applications - often as a Knowledge Graph using Neo4j, dGraph, ArangoDB. Technical scope: • AWS specialist across serverless (Lambda, DynamoDB, S3, Kinesis, SQS, EventBridge etc.), EKS, IAM, CDK IaC • Experience with Azure and exposure to GCP in multi-cloud or hybrid architectures • Cloud-agnostic designs built around Kubernetes and open-source technologies (vLLM, Ollama, ChromaDB, Airflow, Kafka, Grafana, APISIX, Backstage, MinIO, Superset, Trino, Polars, DuckDB, Flink) • On-premise and distributed system design across Linux clusters, edge compute, and data ingestion pipelines This role combines technical leadership, stakeholder collaboration, and hands-on delivery—helping organizations take ideas from concept to production and build platforms ready for real AI adoption.
Skills:
Amazon Web Services (AWS) · Artificial Intelligence (AI) · Solution Architecture · Python · Kubernetes · Graph Databases · Serverless Computing · Pre-Sales Technical Consulting · Enterprise Architecture · Data Engineering · Cloud-Native Development
Jan 2016 - Sep 2023 · 7 yrs 9 mos
Senior Technical Management Consultant | Cloud, Data & Digital Platforms
swaut.io · Self-employed
Stockholm, Sweden · Hybrid
I worked as a consultant helping organizations modernize their digital services and technical platforms. My role combined solution architecture, technical management, and hands-on development. I worked closely with C-level leaders, product teams, engineering, and R&D to design and deliver systems that support long-term digital growth. Typical work included designing cloud architectures, building connected and data-driven services, and leading teams through the full lifecycle from early discovery and PoCs to deployment and ongoing operations. I also supported organizations in improving ways of working, team structure, and alignment between business and engineering. Highlights: • Led architecture and technical strategy for cloud, hybrid, and on-prem platforms • Advised executives on digital transformation, cloud adoption, AI opportunities, and long-term platform direction • Worked with engineering teams on design, prototyping, and implementation of scalable data and analytics systems • Developed cloud-native and on-prem solutions for IoT, predictive maintenance, and real-time data flows • Built full end-to-end SaaS platforms including backend, data pipelines, infrastructure, and mobile clients • Delivered technical assessments, roadmaps, and architecture proposals to both business and technical leadership This role gave me broad cross-industry experience and the ability to translate business needs into solutions that scale in production environments.
Skills:
Amazon Web Services (AWS) · Solution Architecture · Technical Leadership · Cloud-Native Development · Python · Edge Computing · Event Driven Programming
Nov 2018 - Apr 2019 · 6 mos
R&D Project Manager - Telecom
Polarium · Full-time
Stockholm, Sweden
Led cross-functional R&D projects for lithium battery systems in a fast-paced telecom environment. Managed concept-to-release delivery, including planning, technical coordination, and risk management. Worked across hardware, embedded software, mechanical design, and IT systems to support rapid product development and global deployment.
Skills:
R&D Leadership, Cross-Functional Collaboration, Hardware/Software Integration, Project Management, Telecom Systems
Aug 2017 - Nov 2018 · 1 yr 4 mos
R&D Project Manager - Automotive
Scania Group · Full-time
Stockholm, Sweden
Managed the development of R&D test vehicles used for validation before market release. Coordinated engineering, workshop teams, and external suppliers. Worked with requirements, risk assessments, scheduling, and process improvements. Acted as a bridge between R&D and operations, improving communication and cross-team efficiency.
Skills:
Automotive R&D, Requirements Management, Risk Analysis, Supplier Coordination, Stakeholder Communication
Feb 2016 - Aug 2017 · 1 yr 7 mos
Field Service Engineer - Nanotech
Thermo Fisher Scientific · Full-time
Göteborg, Sverige
Installed, calibrated, and supported transmission and scanning electron microscopes for research and industrial customers. Ensured high precision, system reliability, and customer training on advanced instrumentation.
Skills:
Electron Microscopy, Precision Calibration, Technical Support, Customer Training, Field Engineering
Feb 2015 - Jan 2016 · 1 yr
Installation Engineer - Medtech
Elekta · Full-time
Installed and aligned Leksell Gamma Knife systems for neurosurgical treatment centers worldwide. Responsible for achieving micrometer accuracy in the stereotactic positioning system and training clinical teams.
Skills:
Medical Device Installation, Surgical Systems, High-Precision Alignment, Global Field Work, Customer Training
Aug 2012 - Sep 2014 · 2 yrs 2 mos
Automation Engineer - Oil & Gas
REINERTSEN AS · Full-time
Trondheim(Norway) / Gothenburg(Sweden)
Designed field instrumentation and control logic for automation systems on offshore platforms. Collaborated with multidisciplinary engineering teams to ensure safe and reliable operations in demanding environments.
Skills:
Automation Engineering, Control Systems, Field Instrumentation, Offshore Engineering, Industrial Systems
Industry Expertise
Core Competencies
Services
Delivering scalable, intelligent, and robust systems through specialized services in cloud, AI, and data engineering.
AWS Cloud Architecture
Designing secure, scalable, and cost-efficient AWS infrastructure to power your applications. Expertise across serverless (Lambda, DynamoDB, S3, Kinesis, SQS, EventBridge), EKS, IAM, and CDK IaC.
Applied AI & LLM Integrations
Leveraging advanced AI models and LLMs to solve complex business problems and drive innovation. Building RAG-based features using Claude (via Amazon Bedrock), Python, and modern retrieval patterns.
Python & Data Engineering
Building high-performance backend systems and reliable data pipelines with expert Python development. Creating scalable data platforms using Spark, Hadoop, Kafka, Airflow, and modern tools like Polars and DuckDB.
Kubernetes & Platform Design
Creating cloud-agnostic, containerized application platforms for maximum flexibility and resilience. Building production-ready platforms with open-source technologies.
Knowledge Graphs & Data Modeling
Structuring complex, interconnected data to build intelligent and insightful knowledge systems. Expertise in Neo4j, dGraph, and ArangoDB for enterprise data modeling.
Enterprise Architecture & Strategy
Leading technical strategy and architecture across cloud, hybrid, and on-prem environments. Working directly with executives to define vision, roadmap, and business value.
Technical Stack
Cloud & Infrastructure
- check_circle AWS (Lambda, EKS, S3, DynamoDB, Kinesis, EventBridge, Bedrock)
- check_circle Azure & GCP for multi-cloud architectures
- check_circle Kubernetes, Docker, Terraform, CDK
- check_circle Linux clusters, edge compute, on-premise solutions
Data & AI Technologies
- check_circle Claude, Amazon Bedrock, vLLM, Ollama
- check_circle Neo4j, ArangoDB, Dgraph (Knowledge Graphs)
- check_circle Spark, Hadoop, Kafka, Airflow, Flink
- check_circle Python, Polars, DuckDB, ChromaDB, MinIO
Articles & Insights
Technical deep-dives and practical insights on cloud architecture, AI, and data engineering.
Local AI: A Reality Check on VRAM, Speed, and the Hardware You Need
A practical guide to running AI models locally, covering hardware requirements, VRAM needs, and performance considerations.
Why AWS EKS Might Be a Smarter Choice Than Serverless
Exploring when Kubernetes on AWS EKS provides better value and flexibility compared to serverless architectures.
Cost-Efficient Data Platform in Azure: Harnessing Terraform, Containers, Polars, and Blob Storage
Building a modern, cost-effective data platform on Azure using infrastructure as code and efficient data processing tools.
Pandas, Spark, and Polars: When to Use Which
A practical comparison of three popular data processing frameworks to help you choose the right tool for your use case.
Fourier Transform in Python
Understanding and implementing Fourier transforms in Python for signal processing and frequency analysis.
Get in Touch
For consulting or architecture inquiries, you can reach me at:
Based in Munich, Germany • Available for remote work globally