Building at the intersection of AI, product, and enterprise transformation. Turning ambiguous problems into scalable systems.
I operate like a founder inside large enterprises. When I see a problem, I don’t wait for a committee to approve it. I pull together the right people, make the case, and ship.
Back in 2018, I was architecting production ML systems when most people were still figuring out what machine learning could do. That early bet on AI’s potential led me to build the streaming and inference infrastructure that companies are scrambling to implement today.
What gets me excited is the zero-to-one phase where nobody knows the answer yet. I’m good at spotting patterns others miss, seeing how second and third-order effects will play out, and building systems that create entirely new value.
Based in Stockholm since 2013. Outside work, I spend time with my kids exploring Swedish forests. Family life has taught me that the best solutions often come during long walks rather than long meetings.
Leading enterprise-scale AI architecture and preparing workforces for AI-native operating models.
Thriving in ambiguous environments, identifying market inefficiencies, and building from scratch.
Building platforms handling billions of events daily with zero downtime (Kafka, Real-time ML).
Bridging the gap between technical elegance and product adoption. 90% developer satisfaction.
Architecting microservices and REST APIs that scale. Pattern recognition in distributed systems.
Early adopter of Kafka (2013), Real-time ML (2018), and Generative AI (2023).
Stockholm, Sweden
Stockholm, Sweden
Stockholm, Sweden
Lucknow, India
Stockholm, Sweden
Pune, India
Pune/Bangalore, India