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Gerrit Boehm, PhD

Founder & CEO

Gerrit holds a PhD in Persuasive Technologies focusing on novel, innovative products and services to enhance Public Transportation. He has 13 years of experience in human-computer interaction, design engineering and emerging technologies. His core interests lie in IoT, Big Data & Smart Public Transport to deliver Intelligent Mobility.

 
 
 
 
 

Peter Todd

CTO

Peter is a technical lead with over 20+ years experience in implementing solutions in health, infrastructure and finance. Over the last 6 years, he worked in lead roles for several tech startups.  Peter’s background is in Business Intelligence and Spatial Analysis and has been driven by presenting big complex datasets as meaningful information. He holds an MSc in Computing and an MBA in Innovation Management.

 
 
 
 
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Tadej Magajna

Lead machine learning engineer

Tadej Magajna is a machine learning engineer and software developer with over 7 years of experience delivering production quality software and machine learning models. He specialises in neural networks doing time series analysis, computer vision, unsupervised learning and NLP. Tools of choice include Python, Tensorflow, Keras and PyTorch. He holds a master's degree in Computer Science from the University of Ljubljana.

 
 
 
 
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Andreas Knitter

Non Executive

“It’s a great pleasure for me to support OpenCapacity, this promising and innovative start-up at a none executive level. I’m really looking forward working in this international, enthusiastic and motivated team.”

Andreas has 20+ years of domain knowledge in the transport sector. He previously worked as Managing Director of Alstom and continued thereafter to serve as Senior Vice President of Europe at Alstom Transport. Having worked for many years operationally in big corporation, mainly in the Railway Industry, he now has joined OpenCapacity at a none executive level to share his knowledge and experiences to support business development in order to generate customer satisfaction in a sustainable and profitable way.