Chief Technology Officer · Rome, Italy

Luciano Salemme

AI · Cloud · Architecture · Engineering Leadership

20+ anni a costruire i sistemi che fanno funzionare prodotti digitali complessi. Dalla cloud architecture alle piattaforme AI, dall'AdTech ai sistemi distribuiti su scala.20+ years building the systems that power complex digital products. From cloud architecture to AI platforms, from AdTech to distributed systems at scale.

Multi-Agent AI Cloud Architecture Distributed Systems AdTech Team Leadership

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01 — Chi sono01 — About me

Tecnologia che
crea impatto reale.Technology that
drives real impact.

Sono un Chief Technology Officer con oltre 20 anni di esperienza nella progettazione e scaling di piattaforme cloud-native, AI-driven, nel settore AdTech, video streaming e sistemi distribuiti ad alta disponibilità.I'm a Chief Technology Officer with over 20 years of experience designing and scaling cloud-native, AI-driven platforms across AdTech, video streaming and high-availability distributed systems.

Coordino team cross-funzionali — engineering, DevOps, QA, design, product — con metodologie agili. Definisco la visione tecnica e la traduco in architetture solide e prodotti che scalano.I lead cross-functional teams — engineering, DevOps, QA, design, product — with agile methodologies. I define the technical vision and turn it into solid architectures and products that scale.

Ho introdotto un modello di AI-augmented engineering: multi-agent systems, agentic coding e AI assistants per accelerare la delivery, migliorare la qualità e standardizzare i processi di sviluppo.I introduced an AI-augmented engineering model: multi-agent systems, agentic coding and AI assistants to accelerate delivery, improve quality and standardize development processes.

Esperienza consolidata nella leadership R&D finanziata: coordinamento di progetti di innovazione complessi con università e enti di ricerca, inclusa la collaborazione con il Dipartimento di Informatica, Automatica e Gestionale dell'Università La Sapienza di Roma.Solid experience in funded R&D leadership: coordinating complex innovation projects with universities and research institutions, including the collaboration with the Department of Computer, Control and Management Engineering of Sapienza University of Rome.

AI-First Engineering

Multi-agent systems, agentic coding, LLM orchestration in produzione.Multi-agent systems, agentic coding, LLM orchestration in production.

Cloud Architecture

AWS e Google Cloud, sistemi che reggono migliaia di req/sec con alta disponibilità.AWS and Google Cloud, systems handling thousands of req/sec with high availability.

Leadership TecnicaTechnical Leadership

Visione tecnologica, roadmap, team building e mentorship di alto livello.Technology vision, roadmap, team building and senior-level mentorship.

R&D & InnovazioneR&D & Innovation

Coordinamento di grant europei e collaborazioni con istituzioni accademiche.Coordination of European grants and partnerships with academic institutions.

Ruolo attualeCurrent role

Chief Technology Officer

● Present

Connected-Stories · Roma, ItaliaConnected-Stories · Rome, Italy
Aug 2015 — Present

EsperienzaExperience

20+ anniyears

Team

20 personepeople

LinguaLanguage

IT + EN

Location

Roma 🇮🇹Rome 🇮🇹

FormazioneEducation

Sapienza Università di RomaSapienza University of Rome

Laurea Triennale — Ingegneria InformaticaBachelor's Degree — Computer Engineering

2001–2005

ITIS "A. Pacinotti"

Perito Informatico IndustrialeIndustrial IT Technician Diploma

1999–2000 · Fondi (LT)

02 — Carriera02 — Career

20 anni di esperienza.20 years of experience.

Da consulente tecnico su piattaforme IPTV enterprise, a Head of R&D mobile, fino a CTO che guida l'evoluzione AI di una realtà AdTech internazionale.From technical consultant on enterprise IPTV platforms, to Head of Mobile R&D, to CTO leading the AI evolution of an international AdTech company.

Connected-Stories

Chief Technology Officer

● In corso● Ongoing Aug 2015 — Present

Definisco e guido la visione tecnica, l'architettura cloud e la strategia R&D dell'azienda. Ho costruito una piattaforma AdTech cloud-native che regge migliaia di request/secondo, e ho introdotto un sistema AI multi-agente (A2A + MCP) per l'orchestrazione autonoma di task complessi.I define and lead the company's technical vision, cloud architecture and R&D strategy. I built a cloud-native AdTech platform handling thousands of requests/second, and introduced a multi-agent AI system (A2A + MCP) for the autonomous orchestration of complex tasks.

Coordino team cross-funzionali con metodologie agili. Membro attivo dei working group IAB (VAST 4.x, SIMID, OTT). Clienti: AS Roma, Eagle Pictures, Google Ads, DV360, The Trade Desk — campagne per Valentino, BMW, Sony, Adidas e oltre 100 brand premium.I lead cross-functional teams with agile methodologies. Active member of IAB working groups (VAST 4.x, SIMID, OTT). Clients: AS Roma, Eagle Pictures, Google Ads, DV360, The Trade Desk — campaigns for Valentino, BMW, Sony, Adidas and 100+ premium brands.

Multi-Agent AI AWS · GCP Cloud Run · Vertex AI Node.js · TypeScript LangGraph · MCP

Principali RisultatiKey Achievements

Architettura e scaling di piattaforme cloud-native a migliaia di RPS con alta disponibilitàArchitecture and scaling of cloud-native platforms to thousands of RPS with high availability
Design e implementazione di un sistema AI multi-agente basato su A2A protocols e MCP serversDesign and implementation of a multi-agent AI system based on A2A protocols and MCP servers
Introduzione di un modello "AI Software Factory": Claude Code, MCP tooling, code generation automatizzataIntroduction of an "AI Software Factory" model: Claude Code, MCP tooling, automated code generation
Deploy e scaling di workload AI su Google Vertex AI in produzioneDeployment and scaling of AI workloads on Google Vertex AI in production
Coordinamento R&D finanziato con Sapienza Università di Roma (STEP 2025)Funded R&D coordination with Sapienza University of Rome (STEP 2025)
Gestione release management, review architetture e pratiche di sicurezzaRelease management, architecture reviews and security practices

HyperTV

Head of Mobile Research & Development

6 anni6 years Sep 2009 — Aug 2015

Guida della R&D mobile con focus su fingerprinting e watermarking audio/video. Ho progettato e sviluppato app native iOS e Android per i principali broadcaster italiani e internazionali, con risultati eccezionali in store: top chart per settimane consecutive.Led mobile R&D with a focus on audio/video fingerprinting and watermarking. I designed and developed native iOS and Android apps for leading Italian and international broadcasters, with outstanding store results: top chart for consecutive weeks.

iOS · Android Video Streaming Fingerprinting REST APIs

Principali RisultatiKey Achievements

App rilasciate in top chart per diverse settimane — milioni di downloadApps in the top charts for several weeks — millions of downloads
Mediaset Connect: app ufficiale Mediaset, top 10 App Store per mesiMediaset Connect: official Mediaset app, top 10 App Store for months
Roma Radio: app streaming radio ufficiale per AS Roma FCRoma Radio: official radio streaming app for AS Roma FC
The Stream: app second-screen Al Jazeera English per il mercato USAThe Stream: Al Jazeera English second-screen app for the US market
Collaborazioni con Sky, Mediaset, RAI, LA7, ABC, ESPN, Al JazeeraCollaborations with Sky, Mediaset, RAI, LA7, ABC, ESPN, Al Jazeera
Modelli ML per ottimizzazione ad-slot su VoD Mediaset (collab. Università di Bari)ML models for ad-slot optimization on Mediaset VoD (collab. University of Bari)

Accenture Technology Solutions

Technical Consultant

4 anni4 years Oct 2005 — Sep 2009

Consulente tecnico su piattaforme IPTV e telecomunicazioni enterprise per clienti internazionali di primo livello: software design, sviluppo, integrazione, deployment e supporto operativo.Technical consultant on enterprise IPTV and telecommunications platforms for top-tier international clients: software design, development, integration, deployment and operational support.

Java · J2EE IPTV Oracle PL/SQL Linux

Principali ProgettiKey Projects

British Telecom / Albacom: manutenzione e monitoraggio infrastruttura SiebelBritish Telecom / Albacom: Siebel infrastructure maintenance and monitoring
Telecom Italia – Alice Home TV: sviluppo e operazioni piattaforma IPTVTelecom Italia – Alice Home TV: IPTV platform development and operations
Telekom Deutschland – HanseNet: sviluppo e operazioni piattaforma IPTVTelekom Deutschland – HanseNet: IPTV platform development and operations

Esperienze PrecedentiEarlier Experience

Network Administrator · IT Instructor

2003 — 2005

Network Administrator al Data Center Stanley Bet. Docente corsi ECDL, Dolphin S.r.l.Network Administrator at the Stanley Bet Data Center. ECDL course instructor, Dolphin S.r.l.

Cisco Networking Linux TCP/IP IT Instructor ECDL

R&D & Programmi di InnovazioneR&D & Innovation Programs

Coordinamento tecnico-scientifico di progetti finanziati a livello regionale ed europeo.Technical-scientific coordination of regionally and EU-funded projects.

2025 · FESR 2021-20272025 · ERDF 2021-2027

STEP 2025 – Regione LazioSTEP 2025 – Lazio Region

Coordinatore tecnico-scientifico di un progetto R&D su tecnologie digitali/AI critiche. Collaborazione con DIAG, Sapienza Università di Roma.Technical-scientific coordinator of an R&D project on critical digital/AI technologies. In collaboration with DIAG, Sapienza University of Rome.

2023

RSI Grant – Regione LazioRSI Grant – Lazio Region

Definizione attività R&D, deliverable tecnici e impatto innovativo.Definition of R&D activities, technical deliverables and innovation impact.

2011

FILAS Innovation Grant – Regione LazioFILAS Innovation Grant – Lazio Region

Contributo a design tecnico, roadmap di innovazione e documentazione di progetto.Contribution to technical design, innovation roadmap and project documentation.

03 — Competenze03 — Skills

Stack tecnico completo.Full technical stack.

Dalla progettazione di architetture AI multi-agente al frontend, fino alla gestione cloud enterprise su larga scala.From designing multi-agent AI architectures to the frontend, all the way to enterprise cloud management at scale.

Multi-Agent Systems

Progettazione sistemi A2A (Agent-to-Agent), orchestrazione distribuitaA2A (Agent-to-Agent) system design, distributed orchestration

MCP Servers

Model Context Protocol — architettura tool integrationModel Context Protocol — tool integration architecture

LangGraph

Grafi LLM stateful, workflow complessi in produzioneStateful LLM graphs, complex workflows in production

LangChain

Framework per applicazioni LLM e chain reasoningFramework for LLM applications and chain reasoning

LangSmith

AI observability, evaluation e monitoraggioAI observability, evaluation and monitoring

Google Vertex AI

Training, deployment, orchestrazione ML in produzioneTraining, deployment, ML orchestration in production

Claude Code

Agentic coding, AI-assisted development pipeline

Applied ML

TensorFlow, PySpark, modelli per AdTech optimizationTensorFlow, PySpark, models for AdTech optimization

Google Cloud Platform

Compute Engine, Cloud Run, BigQuery, Pub/Sub, Vertex AI

Amazon Web Services

EC2, ECS, Fargate, S3, Lambda, DynamoDB, SageMaker

Docker

Containerizzazione, image management, ComposeContainerization, image management, Compose

Cloud Run

Serverless container platform — scalabilità automaticaServerless container platform — automatic scaling

Microservices

Architetture distribuite, service mesh, resilienceDistributed architectures, service mesh, resilience

CI/CD

Pipeline automatizzate: test, build, deployAutomated pipelines: test, build, deploy

BigQuery

Data warehouse petabyte-scale, query analyticsPetabyte-scale data warehouse, query analytics

Kubernetes

Orchestrazione container in ambienti enterpriseContainer orchestration in enterprise environments

Node.js

Express, REST APIs, architetture async ad alto caricoExpress, REST APIs, high-load async architectures

TypeScript

Expert — type-safe full-stack development

Python

Pandas, PySpark, TensorFlow, LangGraph, LangChain

Java

Spring, J2EE, Apache Beam, enterprise applications

REST API Design

Standard, versionamento, documentazione, sicurezzaStandards, versioning, documentation, security

Apache Beam

Elaborazione dati distribuita su GCP DataflowDistributed data processing on GCP Dataflow

TypeScript / JavaScript

Expert — ecosistema completoExpert — full ecosystem

React / Next.js

Component architecture, SSR, App Router

Angular

MEAN stack, Material Design, enterprise apps

HTML5 / CSS3

SASS, design responsive, accessibilitàSASS, responsive design, accessibility

BigQuery

GCP data warehouse, analisi a scala petabyteGCP data warehouse, petabyte-scale analytics

Amazon Redshift

AWS data warehouse, query analytics distribuiteAWS data warehouse, distributed query analytics

DynamoDB

AWS NoSQL ad alta scalabilitàHighly scalable AWS NoSQL

Redis

Cache in-memory, pub/sub, session managementIn-memory cache, pub/sub, session management

MongoDB

Database documentale, aggregation pipelineDocument database, aggregation pipeline

MySQL

RDBMS relazionale, modellazione e ottimizzazione queryRelational RDBMS, data modeling and query optimization

Oracle PL/SQL

RDBMS enterprise, procedure complesseEnterprise RDBMS, complex procedures

iOS Nativo

Objective-C, Swift — app top chart in storeObjective-C, Swift — top-chart store apps

Android Nativo

Java, Kotlin — ciclo di vita completoJava, Kotlin — full lifecycle

App Store Publishing

Gestione completa: sviluppo, review, rilascioEnd-to-end: development, review, release

Audio/Video Processing

Fingerprinting, watermarking, HLS streaming

SSP / DSP / DMP

Ecosistema AdTech completo — compra e vendita programmaticaFull AdTech ecosystem — programmatic buying and selling

VAST / VPAID

Standard IAB per video advertisingIAB standards for video advertising

MRAID

Mobile rich media advertising standard

Video Streaming

HLS, adaptive bitrate, piattaforme VoDHLS, adaptive bitrate, VoD platforms

IAB Working Groups

SIMID, OTT, DigiTrust ID — contributo attivo agli standardSIMID, OTT, DigiTrust ID — active contribution to standards

04 — Come costruisco i sistemi04 — How I build systems

Architetture che durano.Architectures built to last.

Ogni sistema che progetto è pensato per scalare orizzontalmente, tollerare i guasti e evolversi nel tempo senza riscritture.Every system I design is built to scale horizontally, tolerate failures and evolve over time without rewrites.

Sistema AI Multi-AgenteMulti-Agent AI System

Orchestrazione autonoma con A2A protocols e MCP serversAutonomous orchestration with A2A protocols and MCP servers

UtentiUsers

↓

API Gateway

↓

Agent Orchestrator

↓

MCP Tool Servers

↓

LLMs — Vertex AI

↓

Knowledge Layer

↓

Cloud Run / GCP

Piattaforma AdTech Cloud-NativeCloud-Native AdTech Platform

Migliaia di req/sec, alta disponibilità, multi-regionThousands of req/sec, high availability, multi-region

CDN / CloudFront

↓

Load Balancer

↓

API Microservices

↓

Cache — Redis

↓

DynamoDB · BigQuery

↓

Analytics Pipeline

↓

Ad Serving Engine

AI-Augmented SDLC

Ciclo di sviluppo potenziato dall'intelligenza artificialeA development lifecycle powered by artificial intelligence

Idea / Spec

↓

AI Architecture (Claude)

↓

Agentic Coding

↓

AI Code Review

↓

CI/CD Pipeline

↓

Observability (LangSmith)

↓

Production

05 — Progetti05 — Projects

Ciò che ho costruito.What I've built.

Dalla piattaforma AI multi-agente enterprise alle app mobile in top chart, fino a sistemi AdTech che servono centinaia di brand premium ogni giorno.From an enterprise multi-agent AI platform to top-chart mobile apps, to AdTech systems serving hundreds of premium brands every day.

Production

AI Multi-Agent Platform

Connected-Stories · 2024

Sistema AI multi-agente enterprise basato su A2A protocols e MCP servers. Abilita reasoning distribuito, orchestrazione e esecuzione autonoma di task complessi su Google Vertex AI.Enterprise multi-agent AI system based on A2A protocols and MCP servers. Enables distributed reasoning, orchestration and autonomous execution of complex tasks on Google Vertex AI.

Execution autonoma di workflow engineering complessiAutonomous execution of complex engineering workflows

LangGraph Vertex AI MCP Cloud Run

Production

Cloud-Native AdTech Platform

Connected-Stories · 2015–present

Piattaforma AdTech ad alta disponibilità che regge migliaia di richieste/secondo. Multi-region su AWS e GCP, con failover automatico e analytics real-time.High-availability AdTech platform handling thousands of requests per second. Multi-region on AWS and GCP, with automatic failover and real-time analytics.

Serve campagne per BMW, Valentino, Sony, Adidas e 100+ brand premiumServes campaigns for BMW, Valentino, Sony, Adidas and 100+ premium brands

AWS · GCP Node.js Redis BigQuery

Active

AI Software Factory

Connected-Stories · 2024

Modello di sviluppo software AI-first: Claude Code, MCP tooling, code generation automatizzata, review e documentazione AI-assisted per accelerare la delivery dell'intero team.An AI-first software development model: Claude Code, MCP tooling, automated code generation, AI-assisted review and documentation to accelerate the whole team's delivery.

Drastica riduzione dei tempi di sviluppo con qualità superioreDrastically reduced development time with higher quality

Claude Code MCP LangSmith

Research

Mediaset Ad-Slot ML Optimization

HyperTV × Università di Bari · 2014HyperTV × University of Bari · 2014

Modelli ML custom per ottimizzare la distribuzione degli slot pubblicitari sulla piattaforma VoD Mediaset, usando dati comportamentali per bilanciare monetizzazione ed esperienza utente.Custom ML models to optimize ad-slot distribution on the Mediaset VoD platform, using behavioral data to balance monetization and user experience.

Ottimizzazione monetizzazione per il maggiore broadcaster commerciale italianoMonetization optimization for Italy's largest commercial broadcaster

Python TensorFlow PySpark BigQuery

Shipped

Mediaset Connect

HyperTV · 2013

App iOS e Android nativa per Mediaset — second-screen experience e fruizione live. Raggiunto il top 10 degli store italiani per diversi mesi consecutivi, con milioni di download.Native iOS and Android app for Mediaset — second-screen experience and live viewing. Reached the top 10 of the Italian stores for several consecutive months, with millions of downloads.

Top 10 App Store per mesi — milioni di downloadTop 10 App Store for months — millions of downloads

iOS · Android HLS Streaming REST APIs

Active

STEP 2025 — EU R&D Program

Connected-Stories × Sapienza · 2025

Coordinatore tecnico-scientifico di un progetto di ricerca e sviluppo su tecnologie digitali/AI critiche (FESR 2021-2027) in collaborazione con il DIAG di Sapienza Università di Roma.Technical-scientific coordinator of a research and development project on critical digital/AI technologies (ERDF 2021-2027) in collaboration with DIAG at Sapienza University of Rome.

Ricerca AI avanzata in collaborazione con SapienzaAdvanced AI research in collaboration with Sapienza

EU Research AI Cloud

06 — AI-Augmented Engineering

L'AI come
membro del team.AI as a
team member.

Ho introdotto un modello di engineering in cui l'AI non è uno strumento opzionale, ma una componente attiva in ogni fase del ciclo di sviluppo: progettazione, coding, review, testing, documentazione e deploy.I introduced an engineering model where AI isn't an optional tool but an active component at every stage of the development lifecycle: design, coding, review, testing, documentation and deployment.

Multi-Agent Systems

Agenti AI autonomi che collaborano tramite A2A protocols e MCP servers per risolvere task complessi in modo distribuito.Autonomous AI agents collaborating via A2A protocols and MCP servers to solve complex tasks in a distributed way.

Agentic Coding

Claude Code e MCP-based tooling integrati nel workflow di sviluppo per generazione, refactoring e review del codice.Claude Code and MCP-based tooling integrated into the development workflow for code generation, refactoring and review.

LLM Orchestration

LangGraph per grafi stateful, LangChain per pipeline complesse, LangSmith per observability e valutazione.LangGraph for stateful graphs, LangChain for complex pipelines, LangSmith for observability and evaluation.

Vertex AI in ProduzioneVertex AI in Production

Training, deployment e orchestrazione di workload AI su GCP — affidabili, sicuri, cost-efficient.Training, deployment and orchestration of AI workloads on GCP — reliable, secure, cost-efficient.

// AI Software Factory

Il codice scritto oggi
è potenziato dall'AI.The code written today
is powered by AI.

Ogni deliverable del team passa attraverso un layer AI: dalla progettazione dell'architettura alla generazione del codice, dall'analisi dei bug alla documentazione automatica. Il risultato? Delivery più veloce, qualità più alta, meno debito tecnico.Every team deliverable goes through an AI layer: from architecture design to code generation, from bug analysis to automatic documentation. The result? Faster delivery, higher quality, less technical debt.

// AI-augmented development pipeline
const pipeline = {
  design: "Claude Code + MCP servers",
  code: "Agentic coding + generation",
  review: "AI-assisted quality check",
  docs: "Automated documentation",
  monitor: "LangSmith observability",
}

07 — Contatti07 — Contact

Parliamoci.Let's talk.

Disponibile per consulenze, collaborazioni, CTO advisory e speaking. Rispondo entro 24 ore.Available for consulting, collaborations, CTO advisory and speaking. I reply within 24 hours.

[email protected]

in/lucianosalemme

GitHub

github.com/LucianoSalemme