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Matías Battaglia Romano

Senior Cloud Architect

AI strategy, grounded in engineering

I'm a Solutions Architect specialized in AI and Cloud architecture. Over the years I've helped dozens of organizations design and run AI workloads in the cloud, and trained hundreds of engineers and decision-makers along the way. Lately my work has shifted toward strategy and adoption: helping companies define what AI means for them, take their first concrete steps, modernize existing processes, and handle the change management that real adoption requires.

Generative AI
ML
AWS
Cloud Design
Enterprise Solutioning
AI Strategy

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My Certifications

AWS Certified AI Practitioner
AWS (last renewed/obtained: Aug 26, 2025)
Expires Aug 26, 2028

Talks I've given

Beyond the PoC: how to bring AI agents to production with Amazon Bedrock AgentCore
AWS Generative AI Day Madrid 2025 · Madrid, Spain · Nov 3, 2025
Quantization and Optimization for image generation models
AWS Summit Madrid 2025 · Madrid, Spain · Jun 11, 2025
Talk page
Generative AI Security: Best practices & Strategy
AWS Summit Madrid 2025 · Madrid, Spain · Jun 11, 2025
Talk page
Design principles for Agentic AI
AI Meetup - The Information Lab · Madrid, Spain · May 22, 2025
Intelligent Agents: Building the Future of Automation
AWS Generative AI Day · Madrid, Spain · Mar 25, 2025
Round table: Innovating with AI
Cisco Partner Executive Exchange II · Madrid, Spain · Feb 6, 2025

Things I believe in

Work at the intersection of technology and business.: The best outcomes come from translating fluently between both worlds, not picking a side. Strategy without engineering depth is hollow; engineering without strategic context misses the point.
Start from first principles.: Frameworks and libraries change every quarter; the underlying ideas don't. Understanding why something works compounds over time; that's the bet behind my blog.
Technology is an enabler, not the point.: The win is what people can do because of the technology, not the technology itself. If a simpler tool gets the job done, use the simpler tool.
Decisions need data behind them.: Opinions are cheap. Architectures, vendor choices, AI rollouts; the ones that hold up are the ones where someone bothered to measure.
The best decisions hear every voice in the room.: The engineer in the back, the analyst who's been doing this for ten years, the customer who'll actually use the thing. The good answers rarely come from whoever speaks loudest.
The most exciting part of AI is who it lets in.: I have friends and family with no technical background shipping web apps, games, and tools they couldn't have built five years ago. That's the real story, not what you see on social media.

Writing

Long-form notes on language models, retrieval, and inference, collected at matiasbattaglia.com.

Tokenizer Playground

Try this simple demo on LLM tokenization! Language models don't read text, they read tokens, and each model tokenizes differently.

Input

—Tokens

—Characters

Model

—Cost (input)

Tokens

Show bytes Show IDs

Tokenization via gpt-tokenizer — o200k_base for GPT-4o, cl100k_base for GPT-4 / 3.5 and as a reference for Claude. Anthropic does not publish a tokenizer library; for exact Claude counts, use the count_tokens API. Prices illustrative.

About DoiT

None of the work above happens in isolation. I do it as part of my role at the Forward Deployed Engineering team at DoiT, serving thousands of organizations. Below, a few of their voices.

What they say

DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.

Milad Rezazadeh, CTO

Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.

Eli Zilbershtein, Head of DevOps, Hippo

You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.

Omri Cohen, Director of Engineering, Platform

Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.

Jonathan Langer, COO, Claroty

Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.

Kfir Lippmann, CFO, Salt Security

Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.

Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru

This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.

Jason Moore, Principal DevOps Engineer, Accrete AI