Mobile AI Engineer
I help mobile and IoT teams close the gap between instrumentation, pipeline reliability, and the dashboard your CTO actually opens.
From offline-first field workflows to telemetry pipelines, dashboards, and AI features in production, these are the services I use to turn scattered technical effort into something your team can actually operate and trust.
You suspect your app data is hiding something valuable. In 1–2 weeks, I'll pinpoint what you're capturing, what's slipping through, and where to make the highest-value fixes. This way, you won't waste budget on the wrong things.
Field teams work where connectivity dies. I create React Native apps that work offline. They validate data on the device, ensuring accurate capture, even without a signal. This means no server reliance and no lost submissions.
Your app fires events, but nobody trusts what lands in BigQuery. I begin at the source. I ensure the instrumentation is set up right and design the architecture. Finally, I give you dashboards that your CTO actually opens on Monday morning.
LLM features are landing in every roadmap. Almost no one can build the feature and measure whether it works. I do both: native integration into your app, plus the instrumentation that tells you if it's actually moving the numbers.
Device data lands somewhere. Nobody's watching it. I build a clean pipeline with SLOs, cost monitoring, and alerting that catches failures before your customers do - from fragmented telemetry to an observable, production-grade setup.
Your data team has a model. It's been sitting in a notebook for six months. I get it into production - offline-capable, latency-optimized, running on the device where it needs to be. No more "we'll deploy it next quarter."
How We Engage
A simple, structured engagement model focused on clean instrumentation, trustworthy data flow, and analytics that actually supports product decisions.
Portfolio
Examples of analytics, mobile product, and operational systems work. Open any project to see the full context, approach, and outcome.
Who does not know that? You are facing a property in a dream location, and wonder: How much is this property worth?…
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Cross-platform mobile client for controlling an intelligent household. I was tasked by an international research group to develop a mobile client to…
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My personal responsibility was mainly implementing the selected design and providing feedback on future improvements. We went from early prototype to initial…
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A public organization in Sweden tasked me to design a software platform for cyclists and cities to increase the number of people…
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One of my most recent projects was the localization of an intelligent assistant for use at airports in Sweden and Japan. My…
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Companies with mobile apps or connected products often split ownership across mobile engineering, analytics, and reporting. That is where trust in the data starts to break.
Events get tracked inconsistently. Pipelines become fragile. Dashboards arrive too late to shape real product decisions.
My role is to remove that handoff risk. I work across instrumentation, data flow, telemetry reliability, and the decision layer - so your team gets a system that is usable, trusted, and built for scale.
From Vodafone-scale telemetry infrastructure to field operations and PropTech data systems, I bring the technical depth to design the pipeline and the product sense to make the output useful.