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Martin Krasser Email & Phone Number
Founder
at
Gradion AI
1 work email found
@googlemail.com
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Who is Martin Krasser? Overview
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Quick answer
Martin Krasser is listed as Founder at Gradion AI, a company with 2 employees, based in Vienna, Vienna, Austria. AeroLeads shows a work email signal at googlemail.com and a matched LinkedIn profile for Martin Krasser.
Martin Krasser previously worked as Senior Director Machine Learning, Lead Machine Learning Engineer at Canto and Software Engineer, Machine Learning Engineer at Freelancer. Martin Krasser holds Mag. Rer. Nat. from Karl-Franzens-Universität Graz.
Company email context
Email format at Gradion AI
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{last}{first_initial}@googlemail.com
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AeroLeads found 1 current-domain work email signal for Martin Krasser. Compare company email patterns before reaching out.
Profile bio
About Martin Krasser
I’m a freelance software engineer with a strong background in machine learning, distributed systems, event sourcing and system integration. My current focus is on AI search engines and agentic systems. I support customers in all phases of their machine learning projects, from initial research, prototyping, iterative solution development up to serving and maintaining machine learning solutions in production. My experience as distributed systems engineer comes from the development of numerous large-scale event-driven systems, including globally distributed systems that provide causal consistency guarantees. I’m a continuous learner and active open source contributor.
Listed skills include Distributed Systems, Software Development, Java, Scala, and 23 others.
Current workplace
Martin Krasser's current company
Company context helps verify the profile and gives searchers a useful next step.
Gradion Ai
15 roles
Martin Krasser work experience
A career timeline built from the work history available for this profile.
Senior Director Machine Learning, Lead Machine Learning Engineer
Current
Aug 2023 - Present
Software Engineer, Machine Learning Engineer
Current
Freelancer
Apr 2011 - Present
Machine Learning Sabbatical
Freelancer
May 2017 - Apr 2018
Director Machine Learning, Lead Machine Learning Engineer
Merlinone
Apr 2018 - Aug 2023
Distributed Systems Engineer
Sep 2014 - Aug 2017
Distributed Systems Engineer
Oct 2015 - Jul 2017
Distributed Systems Engineer
Fine.Lines.Software Gmbh
Feb 2017 - Apr 2017
Software Engineer, Software Architect
Oct 2013 - Feb 2014
Software Engineer, Software Architect
Eligotech Bv
Mar 2012 - Oct 2013
Senior Software Architect
Feb 2011 - Apr 2011
Lead Software Architect, Senior Software Engineer
Intercomponentware Ag
Jan 2005 - Jan 2011
Senior Software Architect, Senior Software Engineer
Sep 2000 - Dec 2004
Software Developer, Research Assistant
University Of Salzburg
Feb 1999 - Aug 2000
Software Developer
Jul 1998 - Jan 1999
1 education record
Martin Krasser education
FAQ
Frequently asked questions about Martin Krasser
Quick answers generated from the profile data available on this page.
What company does Martin Krasser work for?
Martin Krasser works for Gradion AI.
What is Martin Krasser's role at Gradion AI?
Martin Krasser is listed as Founder at Gradion AI.
What is Martin Krasser's email address?
AeroLeads has found 1 work email signal at @googlemail.com for Martin Krasser at Gradion AI.
Where is Martin Krasser based?
Martin Krasser is based in Vienna, Vienna, Austria while working with Gradion AI.
What companies has Martin Krasser worked for?
Martin Krasser has worked for Gradion Ai, Canto, Freelancer, Merlinone, and Red Bull Media House.
How can I contact Martin Krasser?
You can use AeroLeads to view verified contact signals for Martin Krasser at Gradion AI, including work email, phone, and LinkedIn data when available.
What schools did Martin Krasser attend?
Martin Krasser holds Mag. Rer. Nat. from Karl-Franzens-Universität Graz.
What skills is Martin Krasser known for?
Martin Krasser is listed with skills including Distributed Systems, Software Development, Java, Scala, Agile Methodologies, Integration, Scalability, and Big Data.
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