Richard Deetlefs Email & Phone Number
@headwai.org
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Who is Richard Deetlefs? Overview
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Richard Deetlefs is listed as CTO and Co-Founder at HeadwAI GmbH, a company with 5 employees, based in Vienna, Vienna, Austria. AeroLeads shows a work email signal at headwai.org and a matched LinkedIn profile for Richard Deetlefs.
Richard Deetlefs previously worked as Co-Founder at Headwai Gmbh and Chief AI Officer at Sensonic. Richard Deetlefs holds Master Of Engineering (Meng), Machine Learning, Deep Learning And Computer Vision In Mechanical Engineering, Graduated With Distinction. from University Of Pretoria/Universiteit Van Pretoria.
Email format at HeadwAI GmbH
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AeroLeads found 1 current-domain work email signal for Richard Deetlefs. Compare company email patterns before reaching out.
About Richard Deetlefs
I am passionate about building valuable products
Listed skills include Artificial Neural Networks, Mathematics, Condition Monitoring, Neural Networks, and 38 others.
Richard Deetlefs's current company
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Richard Deetlefs work experience
A career timeline built from the work history available for this profile.
Chief Ai Officer
As CAIO I was responsible for architecting long-term AI strategies and bridging technical expertise with business goals. I lead AI project management to drive innovation and collaboration.
Technical Lead Of Artificial Intelligence
Led interdisciplinary teams in the research and development of data-driven products, focusing on integrating advanced AI technologies into practical applications.
Product Owner Continuous Track Monitoring
Oversaw the entire product life cycle, specializing in asset condition monitoring and machine learning.As a domain expert in asset condition monitoring and machine learning, I coupled my passion from both fields in order to build intelligent condition monitoring solutions for the railway industry.
Data Scientist
Researched AI technologies to detect, classify, and predict the remaining useful life of defects on railway lines using distributed fibre sensing.This was a continuation of my work from Frausher, but now under Sensonic.
Postgraduate Researcher
My research was focused on the application of machine learning, deep learning and computer vision for condition monitoring of mechanical systems.
Data Scientist
Researching AI technologies to detect, classify, and predict the remaining useful life of defects on railway lines using distributed fibre sensing.
Richard Deetlefs education
Master Of Engineering (Meng), Machine Learning, Deep Learning And Computer Vision In Mechanical Engineering, Graduated With Distinction.
Bachelor Of Engineering Honours (Benghons), Machine Learning In Mechanical Engineering, Graduated With Distinction.
Bachelor Of Engineering (Beng), Mechanical Engineering, Graduated With Distinction.
Frequently asked questions about Richard Deetlefs
Quick answers generated from the profile data available on this page.
What company does Richard Deetlefs work for?
Richard Deetlefs works for HeadwAI GmbH.
What is Richard Deetlefs's role at HeadwAI GmbH?
Richard Deetlefs is listed as CTO and Co-Founder at HeadwAI GmbH.
What is Richard Deetlefs's email address?
AeroLeads has found 1 work email signal at @headwai.org for Richard Deetlefs at HeadwAI GmbH.
Where is Richard Deetlefs based?
Richard Deetlefs is based in Vienna, Vienna, Austria while working with HeadwAI GmbH.
What companies has Richard Deetlefs worked for?
Richard Deetlefs has worked for Headwai Gmbh, Sensonic, University Of Pretoria/Universiteit Van Pretoria, and Frauscher Sensor Technology.
How can I contact Richard Deetlefs?
You can use AeroLeads to view verified contact signals for Richard Deetlefs at HeadwAI GmbH, including work email, phone, and LinkedIn data when available.
What schools did Richard Deetlefs attend?
Richard Deetlefs holds Master Of Engineering (Meng), Machine Learning, Deep Learning And Computer Vision In Mechanical Engineering, Graduated With Distinction. from University Of Pretoria/Universiteit Van Pretoria.
What skills is Richard Deetlefs known for?
Richard Deetlefs is listed with skills including Artificial Neural Networks, Mathematics, Condition Monitoring, Neural Networks, Research And Development, Scikit Learn, Linux, and Data Science.
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