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Building impactful products with a focus on rapid delivery and pragmatic perfection. Successfully bootstrapped multiple ventures.
Passionate about creating intelligent systems that learn from data. Specialized in developing deep learning solutions for complex business problems.
Designing scalable and maintainable systems. Expert in cloud-native architectures and distributed systems.
Mindpeak develops advanced visual diagnostic tools leveraging deep learning to assist pathologists in cancer detection. As the CIO, I lead the development of machine learning models and oversee their deployment as inference APIs. My technical team and I utilize technologies such as PyTorch, Docker Swarm, and Traefik to achieve this.
As a co-founder and CTO of Lemundo GmbH, I was in charge of innovation in early machine learning solutions, such as product recommendations and forecasts of developer time estimates, which contributed to achieving 7-digit revenues.
I studied at U Hamburg, UC Berkeley, and LMU Munich, focusing on computer science, machine learning, psychology, philosophy of mind, and computational neuroscience.
At the NVIDIA GTC, I gave a talk about training machine learning models for cancer diagnostics.
At the ML Conference in Berlin, I held a talk about reinforcement learning featuring my deep Q learning library.
At the EuroPython conference, I held a talk about speeding up the deep learning development life cycle.
On the machine learning meetup Cologne, I talked about the challenges of "Deep Learning in Digital Pathology".
I spoke several times at the code.talks conference in Hamburg. Most recently on "Serving ML models as an inference API in production".
I was booked as a speaker for the Landing Festival in Lisbon, Portugal. I presented my work on letting a computer play the Pacman video game using deep learning.