Building impactful products with a focus on rapid_delivery and pragmatic perfection. Successfully bootstrapped 0 ventures.
Passionate about creating intelligent systems that learn_from_data. 0+ years of experience in AI/ML development.
Designing scalable_systems and maintainable architectures. Built systems serving 0k+ users daily.
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.