        AI & Data Engineer
      

Giulio
Quaglia.

AI is only as good as the data architecture under it. I build both.

From raw ingestion to models serving real decisions, I build data systems that stay reliable as they scale, in regulated environments where getting it wrong is expensive. Built on Databricks and Spark, LangGraph, RAG pipelines, and LLMs in production.

View work → Get in touch GitHub

years of experience

industries

10+

years writing code

50+

data solutions delivered

        → giuq01692@gmail.com
        → linkedin.com/in/giulio-quaglia
        → github.com/gqkd
      

About me

background & motivations

I'm an AI & Data Engineer with roots in Biomedical Engineering, a background that taught me to work across very different domains, from healthcare to banking to industrial systems. I hold a 110/110 Master's from Politecnico di Torino with an AI and Data orientation, where I focused on machine learning, signal processing, and the data systems behind them.

Today I work at Qvantia, where I lead the design of a proprietary AI and data platform, shaping its architecture from the ground up. Before that, I built scalable ETL pipelines and data validation frameworks for the banking sector, and spent years working across the full data stack: from requirements and data modeling to pipeline development, cloud migrations to Azure, and BI delivery for clients across a range of industries.

The way I work starts with the whole system, not the single component. Before writing code, I think about the architecture that has to hold everything together, how the pieces connect, where they'll strain under load, and what keeps them reliable as they scale. It's the difference between shipping something that runs and building something that lasts.

location

Roma & Milano (working)

San Benedetto del Tronto (living)

languages

Italian — mother tongue

English — IELTS B2

currently

Leading the design of a proprietary AI and data platform at Qvantia, shaping its architecture from the ground up

interests

Data architecture · Applied AI · AI infrastructure · Electronic music

Work experience

career timeline

jul 2026 — present · Bologna, Italy

Lead AI & Data Engineer · Qvantia

//Leading engineer on the design and delivery of an AI and data platform for enterprise clients, from architecture and data modeling through to production, working within a cross-functional team and responsible for every layer of the stack.
//Contribute to the design of a proprietary AI and data platform from its early stages, shaping how data and models fit together at the architectural level and helping define the foundations the product is built on.
//Mentor junior engineers, reviewing design decisions, setting technical direction, and raising the quality bar across the work.

jan 2026 — jul 2026 · Bologna, Italy

Cloud Data Engineer · Prometeia

//Design and implement scalable data pipelines using Azure Data Factory and Databricks for financial analytics use cases.
//Develop production-grade Python solutions for cloud-based data processing, working alongside software engineers and data scientists.
//Build and optimise data models ensuring efficiency, reliability, and regulatory compliance for banking sector clients.
//Implement automated data quality checks, model monitoring, and exception reporting pipelines for risk and compliance teams.

dec 2023 — jan 2026 · Bologna, Italy

Data Engineer · Iconsulting

//Gathered and analysed business requirements, translating them into data architecture decisions and ETL pipeline designs for data warehousing solutions.
//Designed and implemented end-to-end ETL workflows using SAP Data Services, IBM InfoSphere DataStage, Azure Data Factory, and Databricks across multiple client projects.
//Led the migration of legacy SAP Data Services pipelines to Azure Data Factory and Databricks, including SQL-to-Spark SQL translation and performance optimisation.
//Built Power BI dashboards and data models providing unified visibility across economic, financial, operational, and environmental KPIs for executive stakeholders.
//Diagnosed and resolved data stream and pipeline issues, improving system stability and overall performance in production environments.
//Collaborated with BI analysts, data architects, and client teams across the financial, utilities, and retail sectors.

jun 2022 — jan 2023 · Lugano, Switzerland · Master's Thesis

Research Engineer · USI · Meditech

//Designed and implemented a novel uncertainty quantification method integrated into the DeepSleepNetLite CNN architecture for automated sleep stage classification.
//Improved reliability and interpretability of model predictions, enabling clinicians to assess confidence levels before acting on AI-generated outputs.
//Conducted the full research cycle: literature review, model design, training, validation, and academic write-up. Graduated 110/110.

jan 2022 — present · Remote

Website Developer · Freelance

//Design and build custom websites for small businesses and professionals, handling both frontend implementation and hosting setup.
//Manage the full delivery cycle, from client requirements to deployment and ongoing maintenance.

jul 2016 — mar 2020 · Ancona, Italy

CS Tutor · Freelance

//Supported high school and university students in learning programming fundamentals across Python, C, and C++ over four years.
//Broke down abstract concepts into concrete, buildable steps, adapting explanations to each student's level and pace.

Selected projects

engineering, research & personal work

ongoing · financial sector · professional

Statistical Model Validation for Anti-Fraud Systems

Python framework for validation and monitoring of statistical fraud detection models in production banking. Automates data quality checks, model control processes, and exception reporting pipelines to ensure regulatory compliance across complex model estates.

PythonPySparkDatabricksAzure Data Factory

apr – nov 2025 · professional

SAP ETL to Azure Migration & BI Dashboard

Full migration of legacy SAP Data Services ETL pipelines to Azure Data Factory and Databricks, including SQL-to-Spark SQL translation and performance tuning. Delivered an executive Power BI dashboard consolidating economic, financial, weather, and internal KPI data streams.

Azure Data FactoryDatabricksSpark SQLPower BISAP HANA

github

apr 2024 · personal project

Multi-Agent CodeLlama

Autonomous code generation and validation loop with Developer + Reviewer LLM agents built on CodeLlama-7B/13B. Integrates unit tests, iterative feedback, and deterministic sampling to ensure output quality. Fully offline Docker stack optimised for CPU-only execution.

PythonHugging FaceCodeLlamaDockerUnit Testing

thesis

jun 2022 – jan 2023 · master's thesis

Uncertainty Quantification for DeepSleepNet Lite

Novel uncertainty quantification method integrated into the DeepSleepNetLite CNN for automated sleep stage classification. Improved reliability and interpretability of predictions for clinical decision-making. Full research and validation cycle. Graduated 110/110.

PythonTensorFlowCNNGoogle ColabLaTeX

github

sep 2024 · personal project

OpenWeather API to MySQL Pipeline

End-to-end data pipeline that fetches hourly weather data from the OpenWeatherMap API, stores it in a MySQL database, and analyses it with Python and Pandas. Containerised with Docker for reproducibility and scheduled execution.

PythonMySQLPandasDockerREST API

feb 2024 – apr 2024 · professional

Data Warehouse Migration for BI Performance

Strategic data warehouse migration to improve BI department performance. Redesigned data models, streamlined ETL workflows with SAP Data Services and Oracle DB, and led performance tuning and testing phases. Produced detailed technical documentation for ongoing maintenance.

SAP Data ServicesOracle DBPL/SQLData Modelling

Skills & education

technical stack & academic background

// skill map

hover a label to expand its skills · hover the name to expand all

The blog

AI, DATA, SYSTEMS & WHATEVER ELSE HAS MY ATTENTION

I write about everything I study: AI and data engineering, system design, software, finance, and whatever else has held my attention long enough. If it did, there's probably a post about it.

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All posts →

Get in touch

open to interesting conversations

Good data projects start with good conversations.

Whether you're working on a data architecture problem, exploring a collaboration, or just want to talk pipelines, models, or triathlon race strategy — I'm always happy to hear from you.

Send a message →

Email giuq01692@gmail.com LinkedIn linkedin.com/in/giulio-quaglia GitHub github.com/gqkd

CV download

Get my CV by email

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GiulioQuaglia.