Marco Fasanella
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Milan, Italy

Marco Fasanella

Forward Deployed EngineerSoftware Engineer

I build AI-powered engineering tools and work with teams to bring them into everyday delivery.

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A bit about my work

About

At Nexi Digital, I build internal AI tools and help engineering teams bring them into day-to-day software delivery. Earlier, I led Android feature delivery and a development team for Nexi Pay.

  • AI for software delivery

    Builds and deploys AI-powered tools that support everyday engineering work.

  • Engineering workflows

    Connects tools, teams, and repeatable practices across the software lifecycle.

  • Mobile product leadership

    Earlier, led Android delivery and worked directly with the client on product improvements.

Selected work

Projects

Programme organiser and white paper author

A Lean Framework for Education-Led Enterprise AI Adoption

A practitioner white paper on enterprise AI adoption through structured education, team learning, and central governance, informed by anonymous developer surveys across four onboarding cohorts.

Context
An internal R&D experiment in enterprise software development; organisations, teams, and participants remain anonymous.
Contribution
Organised the onboarding initiative and documented a methodology connecting structured education, shared engineering practices, survey evidence, and governance. The paper uses AI-assisted analysis and editorial preparation.
Outcome
Published a white paper and executive summary examining reported AI use, perceived benefit, verification effort, and dependency risk. Findings are unpaired aggregate self-reports, not measured productivity gains; delivery measurement and a future AI SDLC remain proposed next steps.
  • Lean Thinking
  • AI-assisted software development
  • PRE/POST surveys
  • SPACE
  • DORA
  • Responsible AI governance

Thesis author

Dimensions of AI-enabled Mobile and Embedded Devices: an Integration Design Guide

A design guide and graphical tool for choosing AI deployment approaches on resource-constrained mobile and embedded devices.

Context
Master's thesis in Computer Science and Engineering at the Polytechnic University of Milan.
Contribution
Defined five design dimensions—resources, availability, accuracy, timeliness, and privacy—and developed a graphical tool to compare local, distributed, and hybrid deployment approaches. Applied the method to an OCR use case for credit-card registration in a banking app.
Outcome
The thesis reports a local OCR benchmark using TensorFlow Lite and concludes that local inference fits the use case's latency and privacy needs. Its dynamically quantized model pipeline measured 28.4 MB total model size and around 0.4 seconds of inference on a Redmi K20 Pro with four threads.
  • Mobile and embedded AI
  • Android
  • Python
  • Keras-OCR
  • TensorFlow Lite

Co-author

How to Build an Arbitrage Bot

A co-authored research and benchmark study of the architecture behind a decentralized-exchange arbitrage searcher on Ethereum.

Context
Research project at the Polytechnic University of Milan, co-authored with Elia Maggioni and Lucas Manini.
Contribution
Co-authored a model for cyclic arbitrage across decentralized exchanges and a two-stage architecture: startup-time market-graph construction followed by block-driven state synchronization and arbitrage-path evaluation.
Outcome
Built a benchmark implementation to examine graph-construction space and runtime costs, including synchronization and arbitrage checks. The report documents the architecture, complexity analysis, and benchmark results.
  • Go
  • Ethereum
  • Balancer
  • The Graph
  • go-ethereum abigen

Browse all projects

Where I have worked

Experience

Jun 2024 Present

Milan, Italy

Forward Deployed Engineer

Nexi Digital (Reply Group x Nexi Group)

Scope

  • Built and deployed a Dockerized Python agentic SDLC assistant using PydanticAI, integrating Jira, GitHub repositories, CI pipelines, and internal developer workflows for ticket triage, root-cause analysis, patch generation, and test recommendations.
  • Designed and published reusable SDLC skills and agents in a shared enterprise library for planning, code understanding, implementation, testing, and documentation workflows.
  • Designed a standardized Agile Way of Working and AI efficiency KPI framework to measure productivity, cost impact, and adoption outcomes across engineering teams.
  • Led AI-driven SDLC transformation across 20+ Nexi Digital teams responsible for core IT operations, engaging approximately 300 engineering and business stakeholders through Codex adoption, AI education, and workflow redesign.

Impact

  • Supported ticket triage, root-cause analysis, patch generation, and test recommendations, with 200+ accepted fixes to date.
  • The framework supported a projected 30% reduction in software development operating costs.
  • Co-developed, with the Nexi Digital CIO area, an approved plan to scale the transformation to approximately 1,000 people.

Sep 2022 Jun 2024

Milan, Italy

Android Technical Lead

Nexi Digital (Reply Group x Nexi Group)

Scope

  • Delivered Nexi Pay Android app features and customer experience enhancements for a platform serving 1M+ active users (cardholders).
  • Managed a 5+ person Android development team, coordinating feature delivery, technical execution, and quality improvements while working directly with the client to shape future app enhancements.

Notes and ideas

Blog

Content needed from Marco

Browse all writing

How I work

Skills

Software engineering
Python · Kotlin
LLM engineering
RAG · Multi-agent workflows · PydanticAI · LangChain · Langfuse
Engineering workflows
Codex · Antigravity

Learning

Education & certifications

Master in Digital Finance

POLIMI Graduate School of Management · Apr 2023 – Oct 2024

  • Major in Finance; minor in Artificial Intelligence.
  • Relevant coursework: Digital Innovation, Transformation, and Design Thinking.
  • Theoretical and hands-on deep dives into GCP, AWS, OCI, and Microsoft Azure.

Master’s Degree in Computer Science and Engineering

Polytechnic University of Milan · Sep 2021 – Jul 2023

  • Major in Artificial Intelligence; minor in Software Engineering (Intelligent Applications).

BSc in Engineering of Computing Systems

Polytechnic University of Milan · Sep 2018 – Jul 2021

Certifications & training
Cambridge C1 Certification · IELTS Band 7

Languages
Italian · English

Get in touch

Contact

Have a project or a team that could use an engineering partner? Let’s talk.

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