AWS Solutions Architect

Chiara
Relandini

Generative AI & Cloud Infrastructure Specialist

Milano, Italy

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Chiara Relandini

AWS Solutions Architect

Generative AI & Cloud Infrastructure

About me

Building the future of AI
on the cloud

AWS Solutions Architect and former Software Engineer specialising in Generative AI architectures, multi-agent systems, and large-scale cloud infrastructure. Recognised technical speaker at flagship global events including AWS re:Invent and AWS Summits, with a Master's Degree in Computer Engineering at 110/110 e Lode.

Cloud Architecture

Designing and deploying scalable, production-ready cloud systems on AWS — serverless, compute, and Well-Architected workloads for enterprise customers.

Generative AI

Designing and deploying multi-agent AI systems using Amazon Bedrock AgentCore, Strands Agents SDK, and agentic orchestration frameworks at scale.

Technical Speaking

Featured speaker at AWS re:Invent 2025 and AWS Summits (Milan 2023–2026), delivering deep-dive sessions on agentic AI architectures and cloud-native patterns.

Career

Professional Experience

Sept 2022 – Present

Solutions Architect

Amazon Web Services (AWS)

  • Trusted technical advisor and subject matter expert in Generative AI, multi-agent orchestration, and advanced cloud infrastructure for enterprise customers.
  • Designs and deploys scalable multi-agent AI solutions, serverless architectures, and high-performance compute environments optimized for large-scale AI/ML workloads.
  • Represents AWS as a technical speaker at major global conferences, delivering deep-dive breakouts and interactive technical workshops.
  • Collaborates with cross-functional engineering and product teams to accelerate secure cloud adoption and maximise workload operational excellence following the Well-Architected Framework.

June 2022 – Sept 2022

Camino de Santiago Pilgrimage

Career Break & Personal Growth

Walked the northern route from Irún to Finisterre (~1,000 km) in just under one month, developing resilience, advanced adaptability, and structured problem-solving.

Jan 2021 – June 2022

Software Engineer Expert

Mia Platform

  • Designed and engineered resilient microservices architectures leveraging clean code standards and Test-Driven Development (TDD) methodologies.
  • Built and optimised end-to-end automated continuous delivery (CI/CD) pipelines using GitLab, Docker, and Kubernetes.

Public Speaking

Technical Contributions

Focus area: Agentic AI, Multi-Agent Orchestration & Core Infrastructure.

2025 re:Invent

Las Vegas, USA — Flagship Global Event — Session SMB401

Build Fast Multi-Agent AI Systems Using Amplify and Bedrock Together

Delivered a high-impact technical session and hands-on workshop demonstrating architectural patterns for orchestrating autonomous AI agents at the world's largest cloud computing conference.

Watch demo Official AWS Workshop
2025–26 Summit

AWS Summit Milan, Italy — Core GenAI Contribution

Agentic Travel Planner — from Milan to re:Invent and back

Main architect behind the production-grade Agentic Travel Planner. The demo's massive success led to its evolution into the re:Invent 2025 international workshop, then re-presented at AWS Summit Milan 2026.

AWS Summit session
2023–26 Summit

AWS Summit Milan, Italy — Additional Breakouts

EC2 at Scale for AI/ML & Nova Sonic Multi-Modal Agentic Orchestration

During four years at AWS, I've spoken at several AWS Summits. In 2026, I've presented two sessions: deep-dives on large-scale EC2 compute capacity for heavy AI/ML training and inference workloads, and advanced multi-modal models (Nova Sonic) with agentic orchestration.

2023–26 Meetups

Regional AWS Events & Tech Meetups

GenAI Adoption, Bedrock Integrations & Serverless Best Practices

Regular speaker at regional AWS events and specialised tech meetups, sharing insights on early GenAI adoption, agentic developer tools, Bedrock integrations, and serverless patterns.

Technical Skills

Stack & Expertise

Generative AI & ML

Amazon Bedrock Agents & Knowledge Bases Nova Sonic Multi-Agent Systems TensorFlow Keras Scikit-learn

Agentic AI

Amazon Bedrock AgentCore Strands Agents SDK OpenAI Agents SDK Multi-Agent Orchestration

Cloud & DevOps

AWS Core Infrastructure Serverless Amplify EC2 for AI/ML Kubernetes Docker GitLab CI/CD

Programming & Data

Python Node.js Java C++ React Native SQL Kafka MongoDB MySQL

AI Compute & Infrastructure

NVIDIA GPUs EC2 P & G instances AWS Trainium AWS Neuron SDK vLLM Distributed Training & Inference

AI-Powered Productivity

Claude Code Kiro Codex Amazon Q

Publications & Open Source

Written work & code

AWS Machine Learning Blog

AWS Blog

Official AWS Machine Learning Blog

Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

Builder guide for a fully browser-based pipeline combining Amazon Transcribe, Amazon Translate, and Amazon Bedrock to process live streams in real time without any server infrastructure.

Read on AWS Blog

Technical Articles — Medium

The New AI Landscape: Amazon Nova Takes on the Giants

Architectural analysis of Amazon Nova models compared to frontier alternatives — benchmarks, trade-offs, and real-world deployment considerations.

Read on Medium

Supercharging RAG: How Metadata enhance retrieval in Amazon Bedrock Knowledge Bases

Deep-dive on metadata filtering strategies that significantly improve retrieval precision in production RAG pipelines built on Amazon Bedrock.

Read on Medium

Beyond chatbots: Building intelligent travel planning with multi-agent AI orchestration on Amazon Bedrock — Part 1

Architecture walkthrough of the Agentic Travel Planner — from system design to agent orchestration patterns using Amazon Bedrock, the foundation of the re:Invent 2025 workshop.

Read on Medium

GitHub Contributions

AWS PR

aws-solutions-library-samples

Guidance for Claude Code and Cowork on AWS

Code optimisations contributed via Pull Requests to the official AWS Solutions Library reference architecture for Claude Code deployments on Amazon Bedrock.

View PRs on GitHub
AWS Repo

aws-samples

Sample Gen AI Asset Catalog on AWS

Official reference architecture for a generative AI asset catalog — a searchable, metadata-enriched catalogue of AI assets built on Amazon Bedrock and AWS services.

View on GitHub
AWS Repo

aws-samples

Chrome Extension — Transcribe, Translate & Summarize Live Streams

Open-source Chrome extension that brings Amazon Transcribe, Amazon Translate, and Amazon Bedrock directly into the browser to process any live video stream in real time.

View on GitHub

Education & Certifications

Academic Background

M.Sc. Computer Engineering

Politecnico di Milano

2018 – 2021  •  Machine Learning & Data Science

110/110 e Lode

B.Sc. Computer Engineering

Politecnico di Torino

2015 – 2018  •  Young Talents Program (English)

110/110 e Lode

International Exchanges

UPM Madrid • Nauset Regional High School (MA, USA) • ELC TOEFL Prep (CA, USA)

Spain 2017/18  •  USA 2013  •  USA 2014

Languages

Italian Native
English C1 — CAE Cambridge
Spanish C1 — DELE Certificate

Certifications VIEW ON CREDLY →

  • AWS Certified Solutions Architect – Associate
  • AWS Certified Generative AI Developer – Professional
  • AWS Certified Machine Learning Engineer
  • AWS Certified Machine Learning – Specialty
  • AWS Certified AI Practitioner
  • MongoDB Solution Architect Certification for AWS
  • Generative AI with Large Language Models (Coursera)
  • AWS Tech U Graduate

Beyond work

Interests & Projects

Academic Projects

Master Thesis — Agricultural SLAM

ROS-based autonomous navigation using U-Net image segmentation for agricultural environments.

Batcar — Self-Driving Car Model

Autonomous car implemented via Xilinx FPGA and 3D printing with embedded computer vision control.

Watch project video

HouseOnFire — Ambient Intelligence

Ambient intelligence web application architecture — sensor-driven smart environment system.

View project

Personal Interests

Scouts Leader
Competitive Tennis
Piano
Wingfoil & Windsurf
Video Editing
Ski
Beach Volley