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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Davide Gallitelli - AI/ML Technical Leader</title>
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<span>DG</span>
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<ul class="nav-menu">
<li><a href="#about" class="nav-link">About</a></li>
<li><a href="#skills" class="nav-link">Skills</a></li>
<li><a href="#experience" class="nav-link">Experience</a></li>
<li><a href="#education" class="nav-link">Education</a></li>
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<h1>Davide Gallitelli</h1>
<h2>AI/ML Technical Leader</h2>
<h3>Agentic AI · Generative AI · Machine Learning</h3>
<p class="hero-location"><i class="fas fa-map-marker-alt"></i> Singapore 🇸🇬</p>
<p class="hero-description">
Senior AI/ML leader with 7+ years at AWS, having supported 50–75 enterprise customers bringing Agentic AI and Generative AI solutions to production, contributing to hundreds of millions in pipeline. Specialised in translating complex technical capabilities into go-to-market strategies and thought leadership that drive measurable adoption at scale.
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<!-- Skills Section -->
<section class="skills" id="skills">
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<h2 class="section-title">Skills</h2>
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<div class="skill-category">
<h3><i class="fas fa-robot"></i> AI & Machine Learning</h3>
<div class="skill-tags">
<span class="skill-tag">Generative AI Architecture</span>
<span class="skill-tag">Agentic AI</span>
<span class="skill-tag">Machine Learning</span>
<span class="skill-tag">MLOps</span>
<span class="skill-tag">Model Deployment</span>
<span class="skill-tag">AutoML</span>
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<h3><i class="fas fa-code"></i> Programming & Tools</h3>
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<span class="skill-tag">Python</span>
<span class="skill-tag">PyTorch</span>
<span class="skill-tag">TensorFlow</span>
<span class="skill-tag">Hugging Face</span>
<span class="skill-tag">LangChain</span>
<span class="skill-tag">LlamaIndex</span>
<span class="skill-tag">CrewAI</span>
<span class="skill-tag">FastAPI</span>
<span class="skill-tag">Pandas</span>
<span class="skill-tag">Scikit-learn</span>
<span class="skill-tag">Docker</span>
<span class="skill-tag">Kubernetes</span>
<span class="skill-tag">Git</span>
<span class="skill-tag">MLflow</span>
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<h3><i class="fas fa-users"></i> Leadership & Strategy</h3>
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<span class="skill-tag">GTM Strategy</span>
<span class="skill-tag">Public Speaking</span>
<span class="skill-tag">Community Leadership</span>
<span class="skill-tag">Technical Evangelism</span>
<span class="skill-tag">Product Strategy</span>
<span class="skill-tag">Thought Leadership</span>
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</section>
<!-- Experience Section -->
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<h2 class="section-title">Professional Experience</h2>
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<h3>Senior Specialist Solutions Architect GenAI/ML - ASEAN</h3>
<h4>Amazon Web Services <span class="location">🇸🇬 Singapore</span></h4>
<span class="timeline-date">Feb 2026 - Present</span>
<div class="experience-details">
<p><strong>Regional Leadership:</strong> Leading GenAI/ML initiatives across the ASEAN region, driving adoption of generative AI and agentic AI solutions for enterprise customers in Southeast Asia.</p>
<p><strong>Market Expansion:</strong> Establishing go-to-market strategies tailored to ASEAN markets, working with local teams to accelerate AI/ML adoption across diverse industries and regulatory environments.</p>
</div>
<div class="achievements">
<span class="achievement-tag">ASEAN Leadership</span>
<span class="achievement-tag">Regional GTM</span>
<span class="achievement-tag">Market Expansion</span>
</div>
</div>
</div>
<div class="timeline-item">
<div class="timeline-marker"></div>
<div class="timeline-content">
<h3>Senior Specialist Solutions Architect - Worldwide SageMaker AI</h3>
<h4>Amazon Web Services <span class="location">🇧🇪 Brussels</span></h4>
<span class="timeline-date">Apr 2023 - Feb 2026</span>
<div class="experience-details">
<p><strong>Global Go-To-Market Leadership:</strong> Owned the worldwide Go-To-Market (GTM) motion for <strong>Agentic AI</strong> on Amazon SageMaker, driving global strategy and contributing to the product roadmap with customer feedback and open-source frameworks.</p>
<p><strong>Product Strategy & Roadmap:</strong> Served as trusted advisor to the General Manager of Low-Code/No-Code ML, collecting customer feedback and collaborating with Product Managers to shape product roadmap. Worked with the broader SageMaker AI Service Team validating roadmap items and suggesting new features and products to build.</p>
<p><strong>Community Leadership:</strong> Led a community of <strong>100 Low-Code/No-Code ML Champions</strong> 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.</p>
<p><strong>Content Creation & Thought Leadership:</strong> Created <strong>four public-facing workshops</strong> and authored <strong>dozens of AWS ML blogs</strong>, advancing thought leadership and community adoption globally.</p>
<p><strong>Speaking Engagements:</strong> Delivered breakout sessions at <strong>4 consecutive AWS re:Invent conferences</strong> (owning at least one session each year), presented at multiple AWS Summits across <strong>8 cities</strong> (Paris, London, Amsterdam, Zurich, Milan, Athens, Madrid, Dubai), featured twice in AWS Online Tech Talks, and participated in the Italian AWS podcast.</p>
<p><strong>Enterprise Solutions:</strong> Architected complex AI-driven solutions for top AWS customers worldwide, demonstrating measurable impact through technical excellence and strategic guidance.</p>
</div>
<div class="achievements">
<span class="achievement-tag">Worldwide Agentic AI GTM</span>
<span class="achievement-tag">Product Strategy</span>
<span class="achievement-tag">100+ ML Champions</span>
<span class="achievement-tag">4x AWS re:Invent Speaker</span>
<span class="achievement-tag">8 Cities AWS Summits</span>
</div>
</div>
</div>
<div class="timeline-item">
<div class="timeline-marker"></div>
<div class="timeline-content">
<h3>Specialist Solutions Architect GenAI/ML - Benelux</h3>
<h4>Amazon Web Services <span class="location">🇧🇪 Brussels</span></h4>
<span class="timeline-date">Feb 2021 - Apr 2023</span>
<div class="experience-details">
<p><strong>Regional Expertise:</strong> 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.</p>
<p><strong>Customer Success:</strong> Worked directly with enterprise customers to architect and implement scalable AI/ML solutions, focusing on emerging generative AI technologies and traditional ML workloads.</p>
<p><strong>Market Development:</strong> Built relationships with key customers and partners in the Benelux market, contributing to the growth of AWS AI/ML services adoption in the region.</p>
</div>
<div class="achievements">
<span class="achievement-tag">Benelux Leadership</span>
<span class="achievement-tag">GenAI Specialization</span>
<span class="achievement-tag">Customer Success</span>
<span class="achievement-tag">Market Development</span>
</div>
</div>
</div>
<div class="timeline-item">
<div class="timeline-marker"></div>
<div class="timeline-content">
<h3>Solutions Architect</h3>
<h4>Amazon Web Services <span class="location">🇫🇷 Paris</span></h4>
<span class="timeline-date">Jul 2018 - Feb 2021</span>
<p>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.</p>
<div class="achievements">
<span class="achievement-tag">Cloud Architecture</span>
<span class="achievement-tag">ML Specialization</span>
<span class="achievement-tag">Customer Success</span>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Education Section -->
<section class="education" id="education">
<div class="container">
<h2 class="section-title">Education</h2>
<div class="education-grid">
<div class="education-item">
<div class="education-content">
<h3>MSc Computer Engineering - Double Degree</h3>
<h4>Politecnico di Torino / Telecom ParisTech</h4>
<span class="education-date">Oct 2017 - Apr 2019</span>
<div class="education-location">🇮🇹 Turin, Italy / 🇫🇷 Paris, France</div>
</div>
</div>
<div class="education-item">
<div class="education-content">
<h3>BSc Computer Engineering</h3>
<h4>Politecnico di Bari</h4>
<span class="education-date">Oct 2014 - Sep 2017</span>
<div class="education-location">🇮🇹 Bari, Italy</div>
</div>
</div>
</div>
</div>
</section>
<!-- Publications Section -->
<section class="publications" id="publications">
<div class="container">
<h2 class="section-title">Publications & Content</h2>
<div class="publications-grid">
<div class="publication-category">
<h3><i class="fab fa-aws"></i> AWS Machine Learning Blog</h3>
<div class="publication-list">
<div class="publication-item">
<h4>Enhance AI agents using predictive ML models with Amazon SageMaker AI and Model Context Protocol (MCP)</h4>
<p>Exploring how to integrate predictive ML models with AI agents using Amazon SageMaker and MCP for enhanced decision-making capabilities.</p>
<a href="https://aws.amazon.com/blogs/machine-learning/enhance-ai-agents-using-predictive-ml-models-with-amazon-sagemaker-ai-and-model-context-protocol-mcp/" target="_blank" class="publication-link">Read Article <i class="fas fa-external-link-alt"></i></a>
</div>
<div class="publication-item">
<h4>Scale training and inference of thousands of ML models with Amazon SageMaker</h4>
<p>Comprehensive guide on scaling ML operations for organizations managing large numbers of models across diverse use cases.</p>
<a href="https://aws.amazon.com/blogs/machine-learning/scale-training-and-inference-of-thousands-of-ml-models-with-amazon-sagemaker/" target="_blank" class="publication-link">Read Article <i class="fas fa-external-link-alt"></i></a>
</div>
<div class="publication-item">
<h4>Fine-tune and deploy language models with Amazon SageMaker Canvas and Amazon Bedrock</h4>
<p>Demonstrating how business users can fine-tune and deploy large language models using no-code tools for domain-specific applications.</p>
<a href="https://aws.amazon.com/blogs/machine-learning/fine-tune-and-deploy-language-models-with-amazon-sagemaker-canvas-and-amazon-bedrock/" target="_blank" class="publication-link">Read Article <i class="fas fa-external-link-alt"></i></a>
</div>
</div>
<a href="https://aws.amazon.com/blogs/machine-learning/author/dggallit/" target="_blank" class="view-all-btn">View All AWS ML Blog Articles <i class="fas fa-arrow-right"></i></a>
</div>
<div class="publication-category">
<h3><i class="fas fa-users"></i> AWS Community</h3>
<div class="publication-list">
<div class="publication-item">
<h4>Building an AI-Powered Customer Support Assistant with Amazon Bedrock AgentCore</h4>
<p>Step-by-step tutorial on creating intelligent customer support solutions using Amazon Bedrock AgentCore for enhanced customer experience.</p>
<a href="https://builder.aws.com/content/32QAxRzUsUD9X3N7mCaEGV9ox5p/building-an-ai-powered-customer-support-assistant-with-amazon-bedrock-agentcore" target="_blank" class="publication-link">Read Article <i class="fas fa-external-link-alt"></i></a>
</div>
<div class="publication-item">
<h4>Giving AI Agents the Power of ML Models with Amazon SageMaker AI and Amazon Bedrock AgentCore</h4>
<p>Exploring how to enhance AI agents by integrating machine learning models using Amazon SageMaker AI and Amazon Bedrock AgentCore platform.</p>
<a href="https://builder.aws.com/content/30Xfq0ZpnBgNs1bvH7tsS7ENteP/giving-ai-agents-the-power-of-ml-models-with-amazon-sagemaker-ai-and-amazon-bedrock-agentcore" target="_blank" class="publication-link">Read Article <i class="fas fa-external-link-alt"></i></a>
</div>
<div class="publication-item">
<h4>Using Amazon SageMaker AI with Strands Agents Python SDK</h4>
<p>Comprehensive guide on integrating Amazon SageMaker AI capabilities with the Strands Agents Python SDK for building intelligent AI applications.</p>
<a href="https://builder.aws.com/content/30UsNJeUkFtnNbahdg98bQfI5A6/using-amazon-sagemaker-ai-with-strands-agents-python-sdk" target="_blank" class="publication-link">Read Article <i class="fas fa-external-link-alt"></i></a>
</div>
</div>
<a href="https://builder.aws.com/community/@dggallit?tab=articles" target="_blank" class="view-all-btn">View All AWS Community Articles <i class="fas fa-arrow-right"></i></a>
</div>
<div class="publication-category">
<h3><i class="fab fa-medium"></i> Medium Publications</h3>
<div class="publication-list">
<div class="publication-item">
<h4>From Raw Data to Production ML in an Afternoon: AutoGluon on Amazon SageMaker AI</h4>
<p>A hands-on guide to training, deploying, and orchestrating AutoGluon models with SageMaker Python SDK v3.</p>
<span class="publication-date">Mar 17, 2026</span>
</div>
<div class="publication-item">
<h4>Stop Chasing False Positives: How Time-Series Forecasting Can Fix Electricity Theft Detection</h4>
<p>Three progressively sophisticated approaches to Non-Technical Loss (NTL) detection, all built on Amazon SageMaker.</p>
<span class="publication-date">Mar 16, 2026</span>
</div>
<div class="publication-item">
<h4>5 Lessons from Building Production Retrieval Systems with AI</h4>
<p>Five lessons learned following the path from raw data to end user in production retrieval systems.</p>
<span class="publication-date">Feb 24, 2026</span>
</div>
</div>
<a href="https://dgallitelli95.medium.com/" target="_blank" class="view-all-btn">View All Medium Articles <i class="fas fa-arrow-right"></i></a>
</div>
</div>
</div>
</section>
<!-- Projects Section -->
<section class="opensource" id="opensource">
<div class="container">
<h2 class="section-title">Projects</h2>
<div class="projects-category-grid">
<a href="sagemaker-ai/" class="project-category-card">
<div class="project-category-icon"><i class="fas fa-brain"></i></div>
<h3>Amazon SageMaker AI</h3>
<p>End-to-end ML on AWS — AutoGluon, LLM fine-tuning, sparse embeddings, MLOps, and SDK v3 patterns.</p>
<span class="project-category-count">14 repos</span>
</a>
<a href="skills-and-powers/" class="project-category-card">
<div class="project-category-icon"><i class="fas fa-wand-magic-sparkles"></i></div>
<h3>Claude Code Skills & Kiro Powers</h3>
<p>Knowledge packages that give AI coding agents deep domain expertise for SageMaker AI, HyperPod, HealthOmics, and more.</p>
<span class="project-category-count">6 repos</span>
</a>
<a href="mcp-and-agents/" class="project-category-card">
<div class="project-category-icon"><i class="fas fa-plug"></i></div>
<h3>MCP & Agentic AI</h3>
<p>Model Context Protocol servers, multi-agent systems with Strands and Bedrock, and AI-powered document processing.</p>
<span class="project-category-count">6 repos</span>
</a>
</div>
<div class="publications-grid" style="margin-top: 3rem;">
<div class="publication-category">
<h3><i class="fab fa-github"></i> Major Open Source Contributions</h3>
<div class="publication-list">
<div class="publication-item">
<h4>aws-samples/generative-ai-on-amazon-sagemaker</h4>
<p>Migrated entire DIY agents workshop to SageMaker Python SDK v3, updating 8 notebooks with new patterns for ModelTrainer, boto3 integration, and modern SDK architecture.</p>
<a href="https://github.com/aws-samples/generative-ai-on-amazon-sagemaker/pull/163" target="_blank" class="publication-link">View PR #163 <i class="fas fa-external-link-alt"></i></a>
</div>
<div class="publication-item">
<h4>strands-agents/sdk-python</h4>
<p>Added support for Amazon SageMaker AI endpoints as Model Provider, enabling developers to use SageMaker-hosted models with the Strands Agents framework.</p>
<a href="https://github.com/strands-agents/sdk-python/pull/176" target="_blank" class="publication-link">View PR #176 <i class="fas fa-external-link-alt"></i></a>
</div>
<div class="publication-item">
<h4>run-llama/llama_index</h4>
<p>Fixed SageMakerEmbedding class to improve compatibility and reliability when using Amazon SageMaker endpoints for embeddings.</p>
<a href="https://github.com/run-llama/llama_index/pull/10778" target="_blank" class="publication-link">View PR #10778 <i class="fas fa-external-link-alt"></i></a>
</div>
</div>
</div>
<div class="publication-category">
<h3><i class="fab fa-aws"></i> AWS Samples</h3>
<div class="publication-list">
<div class="publication-item">
<h4>20+ Contributions to AWS Sample Repositories</h4>
<p>Reference architectures, standard patterns, labs, end-to-end workshops, and reproducible examples across multiple repositories including:</p>
<div class="achievements" style="margin-top: 1rem;">
<a href="https://github.com/aws-samples/generative-ai-on-amazon-sagemaker" target="_blank" class="achievement-tag">generative-ai-on-amazon-sagemaker</a>
<a href="https://github.com/aws-samples/amazon-sagemaker-generativeai" target="_blank" class="achievement-tag">amazon-sagemaker-generativeai</a>
<a href="https://github.com/aws-samples/sagemaker-genai-hosting-examples" target="_blank" class="achievement-tag">sagemaker-genai-hosting-examples</a>
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<strong>Current Role:</strong> Senior Specialist Solutions Architect GenAI/ML - ASEAN at AWS
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<strong>Experience:</strong> 7+ years at AWS, driving global AI/ML adoption
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<strong>Expertise:</strong> Generative AI, Agentic AI, Machine Learning, Cloud Architecture
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<strong>Leadership:</strong> Led 100+ ML Champions worldwide, authored 30+ technical publications
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