Senior AI/ML leader with 7+ years at AWS, driving global adoption of Generative AI and Agentic AI solutions. Recognized for translating complex business challenges into innovative, high-impact solutions through strategic go-to-market initiatives and thought leadership.
Regional Leadership: Leading GenAI/ML initiatives across the ASEAN region, driving adoption of generative AI and agentic AI solutions for enterprise customers in Southeast Asia.
Market Expansion: Establishing go-to-market strategies tailored to ASEAN markets, working with local teams to accelerate AI/ML adoption across diverse industries and regulatory environments.
Global Go-To-Market Leadership: Owned the worldwide Go-To-Market (GTM) motion for Agentic AI on Amazon SageMaker, driving global strategy and contributing to the product roadmap with customer feedback and open-source frameworks.
Community Leadership: Led a community of 100 Low-Code/No-Code ML Champions worldwide, supporting global opportunities. Worked with the Service Team for Amazon SageMaker Canvas, AWS's top LCNC ML tool, on prioritizing items for the product roadmap.
Content Creation & Thought Leadership: Created four public-facing workshops and authored dozens of AWS ML blogs, advancing thought leadership and community adoption globally.
Enterprise Solutions: Architected complex AI-driven solutions for top AWS customers worldwide, presenting results at AWS Summits and AWS re:Invent conference.
Regional Expertise: Specialized in Generative AI and Machine Learning solutions for the Benelux region (Belgium, Netherlands, Luxembourg), establishing the foundation for AI/ML adoption in the region.
Customer Success: Worked directly with enterprise customers to architect and implement scalable AI/ML solutions, focusing on emerging generative AI technologies and traditional ML workloads.
Market Development: Built relationships with key customers and partners in the Benelux market, contributing to the growth of AWS AI/ML services adoption in the region.
Worked as Solutions Architect helping customers architect and build scalable, secure, and cost-effective cloud solutions on AWS. Specialized in machine learning and data analytics workloads.
Specialized in advanced computer engineering with focus on distributed systems and machine learning. Double degree program between Italy and France.
Foundation in computer engineering principles, software development, and system architecture with strong academic performance.
Exploring how to integrate predictive ML models with AI agents using Amazon SageMaker and MCP for enhanced decision-making capabilities.
Read ArticleComprehensive guide on scaling ML operations for organizations managing large numbers of models across diverse use cases.
Read ArticleDemonstrating how business users can fine-tune and deploy large language models using no-code tools for domain-specific applications.
Read ArticleComprehensive guide on integrating Amazon SageMaker AI capabilities with the Strands Agents Python SDK for building intelligent AI applications.
Read ArticleExploring how to enhance AI agents by integrating machine learning models using Amazon SageMaker AI and Amazon Bedrock AgentCore platform.
Read ArticleStep-by-step tutorial on creating intelligent customer support solutions using Amazon Bedrock AgentCore for enhanced customer experience.
Read ArticleComplete implementation guide for creating intelligent data steward agents using AWS tools and modern AI frameworks.
Aug 22, 2025Solving the challenge of model hosting in centralized accounts while applications live in distributed environments.
Aug 8, 2025Running document showcasing deployment and fine-tuning of DeepSeek R1 with Amazon SageMaker and Amazon Bedrock.
Jan 28, 2025Deep dive into machine learning architectures and best practices for enterprise AI implementations.
Exploring the latest developments in generative AI and how organizations can leverage agentic AI for business transformation.
Comprehensive workshop covering AWS ML services and practical implementation strategies for scalable machine learning solutions.
Feel free to reach out for collaboration opportunities, speaking engagements, or technical discussions about AI/ML and cloud architecture.