Dr. Frank Spiess — DevOps Engineer
Embracing the transformative power of technology, I've dedicated my career to exploring the frontiers of machine learning and generative AI. As an enthusiast and practitioner in these rapidly evolving fields, I'm driven to leverage cutting-edge innovations to create meaningful solutions that drive progress. I also use my knowledge in the field of technical due diligence for startups (https://mainframe-ag.de/index_en.html).
Stackforce AI infers this person is a Solutions Architect specializing in AI and integration for enterprise applications.
Location: Cologne, North Rhine-Westphalia, Germany
Experience: 22 yrs 4 mos
Skills
- Machine Learning
- Solutions Architecture
- Business Ownership
- Technical Due Diligence
- Training
- Business Process Management
- Product Ownership
- Integration
- Natural Language Processing
- Enterprise Architecture
Career Highlights
- Expert in Machine Learning and Generative AI solutions.
- Proven track record in technical due diligence for startups.
- Experienced public speaker and AWS certified trainer.
Work Experience
Amazon Web Services (AWS)
Senior Technical Trainer (6 yrs)
Daimler AG
Technical Product Owner (8 mos)
digitale düsseldorf ug
Solutions Architect (2 yrs 7 mos)
C&A
Requirements Engineering & Integration (1 yr)
Vodafone
Technical Product Owner (1 yr)
IPO.Plan GmbH
Scrum Master (0 mo)
Valtech
Freelance Consultant (1 yr)
DHL
Static Code Analysis Project Manager (0 mo)
TÜV Rheinland Group
Trainer (8 yrs 5 mos)
Mainframe Beratung AG
Solutions Architect and Due Diligence Evaluator (15 yrs 4 mos)
Deutsche Bahn
Technical Trainer (3 yrs)
Vodafone Kabel Deutschland GmbH
External Consultant (Tibco) (4 yrs)
Dr. Frank Spiess | agility + beyond
Business Owner (21 yrs 4 mos)
CGI
Senior Consultant (6 yrs)
Education
Physics Diploma at Hahn-Meitner-Institut Berlin
1st subject Physics at Carl von Ossietzky University of Oldenburg
PhD at Universität Klagenfurt
Atomistic simulation of electromigration processes in Al Cu alloys at Max-Planck-Institut für Metallforschung Stuttgart