13.07.2026 aktualisiert
Premiumkunde
100 % verfügbarAI Expert | Machine Learning, LLMs, Cloud Architecture
Linz, Österreich
Weltweit
Master of Science (MSc) in Artificial Intelligence, Johannes Kepler University LinzSkills
Künstliche IntelligenzCloud-EngineeringPythonMachine LearningLarge Language ModelsGenerative AIMachine Learning Operations
Machine Learning & Deep Learning
Extensive expertise in machine learning and deep learning, including neural networks, graph neural networks, graph transformers, uncertainty estimation, and practical implementations using PyTorch, TensorFlow, and Huggingface. Academic foundation from a Master's and Bachelor's degree in AI, both completed with distinction.
Large Language Models & Multi-Agent AI Systems
Proficiency in working with OpenAI APIs, multi-agent LLM architectures, and multiple LLM providers. Development of hyperscalable AI solutions leveraging sophisticated multi-agent architectures for software automation and enterprise AI integration.
Cloud Architecture & MLOps
Strong background in cloud technologies including Google Cloud Platform, AWS, and Kubernetes. Development and implementation of comprehensive AIOps processes covering conceptualization, planning, evaluation, productization, and deployment of AI use cases across large organizations.
Software Engineering & Backend Development
Solid software engineering background including Java (Spring framework), C#, Docker, and software test automation. Experience from IT specialized school, internships, and professional backend development projects.
Graph Neural Networks & Research
Hands-on research experience with novel graph neural network architectures applicable in drug discovery and molecular property prediction. Contribution to the Huggingface open-source community by improving transformer source code.
AI Strategy & Department Leadership
Experience in building and leading an AI department from inception, managing teams of developers, defining AI strategy, and driving cross-functional AI adoption across business units and subsidiaries.
Recommender Systems
Practical experience with recommender systems, demonstrated by achieving 3rd place in the academic category of the international ACM RecSys Challenge 2021 using XGBoost-based recommendation approaches.
AGI & Fundamental AI Research
Active engagement in fundamental research in AGI theory and Godel Machine theory, aiming to push the boundaries of autonomous software development and create breakthrough solutions in software automation.
Extensive expertise in machine learning and deep learning, including neural networks, graph neural networks, graph transformers, uncertainty estimation, and practical implementations using PyTorch, TensorFlow, and Huggingface. Academic foundation from a Master's and Bachelor's degree in AI, both completed with distinction.
Large Language Models & Multi-Agent AI Systems
Proficiency in working with OpenAI APIs, multi-agent LLM architectures, and multiple LLM providers. Development of hyperscalable AI solutions leveraging sophisticated multi-agent architectures for software automation and enterprise AI integration.
Cloud Architecture & MLOps
Strong background in cloud technologies including Google Cloud Platform, AWS, and Kubernetes. Development and implementation of comprehensive AIOps processes covering conceptualization, planning, evaluation, productization, and deployment of AI use cases across large organizations.
Software Engineering & Backend Development
Solid software engineering background including Java (Spring framework), C#, Docker, and software test automation. Experience from IT specialized school, internships, and professional backend development projects.
Graph Neural Networks & Research
Hands-on research experience with novel graph neural network architectures applicable in drug discovery and molecular property prediction. Contribution to the Huggingface open-source community by improving transformer source code.
AI Strategy & Department Leadership
Experience in building and leading an AI department from inception, managing teams of developers, defining AI strategy, and driving cross-functional AI adoption across business units and subsidiaries.
Recommender Systems
Practical experience with recommender systems, demonstrated by achieving 3rd place in the academic category of the international ACM RecSys Challenge 2021 using XGBoost-based recommendation approaches.
AGI & Fundamental AI Research
Active engagement in fundamental research in AGI theory and Godel Machine theory, aiming to push the boundaries of autonomous software development and create breakthrough solutions in software automation.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2026
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Founded Goedly, a research-focused company dedicated to automating the complete software lifecycle with a current focus on website development and deployment. Developing a hyperscalable solution on Google Cloud Platform using a sophisticated multi-agent LLM architecture. Leading fundamental research in AGI theory and Godel Machine theory to achieve competitive advantages in software automation.
Built and led Fabasoft's AI department from inception, directly managing a team of 4 members and co-responsible for approximately 30 developers across all business units. Led the integration of AI into the Fabasoft Cloud ecosystem, developing solutions in Classification, LLMs, and RAG. Developed and implemented the comprehensive AIOps process across all Fabasoft subsidiaries. Coached Marketing, Sales, and Professional Services teams on AI opportunities and limitations.
Graduated both Master's and Bachelor's degree programs in AI with distinction. Master's thesis completed in cooperation with Voestalpine AG on uncertainty estimation using machine learning in regression. Studies focused on GPT, LLMs, BERT, LSTM, Graph Neural Networks, and uncertainty estimation. Won 3rd place in the academic category of the international ACM RecSys Challenge 2021.