Products & software
Python, TypeScript, React, Astro, Django, Streamlit, APIs, responsive interfaces, and product development from first prototype to operation.
Emil Ingemar Karlsson · Stockholm
I build across the boundaries between product, data, and operations.
My work started with native mobile products, moved through infrastructure and business intelligence, expanded into governed data platforms, and now centres on autonomous systems. Data and analytics have been the continuous foundation.
The throughline
One evolving system.
01Products02Product data03Operational analytics04Trust & governance05Data platforms06AI-assisted development07Agentic systems08Company OS
The technologies changed because the problems grew. Product analytics made behaviour visible. BI made operations understandable. Governance made data dependable. Data platforms made context reusable. AI and MCP made execution programmable. Company OS is where those lessons converge.
2013–now
How the work evolved
Software development, dashboards, and data
During my software development studies, dashboards and data visualisation were already part of how I explained what software was doing. Analytics became a foundation rather than a later specialisation.
- Software development
- Dashboards
- Data visualisation
TUVA: native apps informed by behaviour
I founded and built TUVA in Swift and Java. It reached 10,000 users in three weeks; Mixpanel and Google Analytics made onboarding, activation, and retention part of product development from launch.
- Swift
- Java
- Mixpanel
- MongoDB
TietoEVRY: infrastructure becomes an analytics problem
I turned ServiceNow history into SQL datasets and Power BI decision support. Reliability, service ownership, GDPR, and security taught me that useful systems also need traceability and clear controls.
- Power BI
- SQL
- ServiceNow
- GDPR
BI and customer evidence guide product investment
Across consulting and enterprise product work, I combined Power BI with qualitative and behavioural evidence. One B2B programme connected 40,000 daily sessions, 1,470 survey responses, and 30 customer visits across 35 markets.
- Power BI
- Product analytics
- Customer research
- B2B
Databricks: dashboards become a governed data platform
I built and operated 100 production jobs and 631 governed tables, followed by forecasting, NLP across 1.46M+ support cases, machine learning, and decision applications.
- Databricks
- Python
- Unity Catalog
- ML
From early ChatGPT use to connected development
Prompting and copy–paste coding became daily AI-assisted development, then reusable n8n and Zapier flows, and finally controlled access to code, data, tools, and documentation through MCP.
- ChatGPT
- n8n
- Zapier
- MCP
The Unnamed Roads and Company OS
I now operate 10+ projects on 30+ containers with specialist agents, shared data, tools, approvals, and observability. Company OS is the coordination layer emerging from that work.
- Agents
- MCP
- Observability
- Human oversight
Scale I have owned
Evidence, with context.
Numbers are useful when they describe real operating responsibility, not theatre.
- TUVA users
- 10,000
- B2B markets
- 35
- production jobs
- 100
- governed tables
- 631
- support cases
- 1.46M+
- live projects
- 10+
Capabilities
Broad by experience, connected by systems thinking.
Data & analytics
SQL, Power BI, Databricks, Snowflake, Azure, ingestion, modelling, governance, NLP, forecasting, machine learning, and decision interfaces.
Agentic infrastructure
MCP, LangGraph, LiteLLM, n8n, model routing, tool gateways, memory, observability, self-hosting, approvals, and multi-agent orchestration.
Operational foundations
Infrastructure management, ServiceNow, GDPR, security, reliability, cost awareness, process improvement, and systems that remain understandable after launch.
Continue
See the work or start a conversation.
I am always interested in thoughtful conversations about data-intensive products, technical organisations, and what responsible autonomy could make possible.