Professional Experience
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Machine Learning
- Generative AI
- LLMs and their architectures
- Agentic AI and tools (knowledge bases, APIs, internal/external systems)
- Natural language querying (NLQ)
- Intelligent document processing and generation
- Evaluation, observability, monitoring
- Research and experimentation with state-of-the-art AI/ML
Data Engineering
- Distributed systems
- Data lakes, data warehouses, and lakehouses
- Batch and real-time processing
- Database and analytics engines
- Data quality and monitoring
Cloud
- AWS Partner ecosystem
- Architecture and infrastructure on AWS
- Certifications in Solutions Architecture, Development, Data Engineering and Machine Learning
Education
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Bachelor’s Degree in Software Engineering and Information Systems
Interests
Beyond AI, I am passionate about:
- Exploring new software engineering frameworks
- Experimenting with traditional machine learning concepts
- Startups and entrepreneurship, going from an idea into reality
- Reading books for deep knowledge across topics
- Maintaining balance with gym sessions, running, hiking and football