
With a foundation in Software Engineering and a deep focus on Systems Architecture, I bridge the gap between high-level business strategy and technical execution. My experience leading large, cross-functional teams (up to 70+ professionals) has enabled me to architect scalable backends and deliver complex projects in highly regulated environments. Currently, I specialize in pioneering Autonomous AI-driven automation pipelines (using LangChain, local LLMs like Ollama, and Playwright) and building resilient API ecosystems with Python and FastAPI. Outside of work, I'm passionate about building bespoke FPV drones, riding my motorbike, and exploring new cultures through travel.
Since early 2024, I have been designing and building advanced AI-driven architectures for B2B environments. I developed Taylored CV, a complex LangChain orchestration pipeline that dynamically tailors resumes against job descriptions using parallel asyncio processing and strict Pydantic structure definitions.
Simultaneously, I architected AutoEasy, an innovative Chrome Extension and Node.js backend system utilizing Playwright and local LLMs (Ollama) to autonomously handle complex UI interactions. Beyond pure AI, my recent consulting encompasses full-stack architectural developments like the GABS Booking System—a Flask and React application engineered to bypass stateful authentication mechanisms—and asynchronous Python security scanners like CyberChecker.
At Coding Giants, I played a foundational role in establishing the Italian branch operations. Acting as a strategic technical leader, I designed the core quality management ecosystem from the ground up, utilizing Python-based analytical tracking systems to enforce compliance and operational rigor. Over my tenure, I scaled and mentored a cross-functional department of over 70 members.
My primary ethos centered unconditionally on eradicating manual dependencies. I engineered Selenium and Google Sheets API pipelines to fully automate teacher tracking and transformed manual contract generation into an instantaneous Python rendering flow, vastly improving organizational throughput while adhering to strict Agile methodologies.
During my five years at Eurofins, I designed and deployed sophisticated automated test plans validating HbbTV, DVB-T2, and next-generation ATSC 3.0 frameworks, working closely with top-tier partners like the BBC and Tivùsat.
On the back-end side, I engineered core C# data processing components integrating into broader QA analyzer suites to validate granular Interoperable Mastering Formats (IMF) used by customers like HBO to guarantee Netflix platform compliance. I authored expansive Shell and Python automation pipelines that demonstrably increased QA velocity by 20%, all whilst orchestrating the technical rollouts that allowed seamless remote deployment telemetry during the pandemic lockdown.
I operated within the Risk Advisory division serving as the principal Technical and Functional Analyst on a major GRC transformation for Leonardo, a key player in aerospace defense.
My focus involved architecting SOC integrations that aggregated disjointed network endpoints through resilient REST APIs to consolidate enterprise compliance. I was responsible for transforming rigorous business security matrices aligning to ISO/IEC 27001 and NIST parameters into deeply detailed technical software specifications for the engineering teams.
My early trajectory in enterprise engineering was shaped at Capgemini, where I focused on high-throughput backend architecture. I integrated robust Java-based Big Data architectures to analyze massive streams from Octo Telematics utilizing Esper EPL microservices. Concurrently, I honed my foundational skills in infrastructure resilience by building highly scalable REST backend services powering Telecom Italia Sparkle transit gateways, strictly optimized to meet exacting SLA demands over Oracle and Spring Boot.
Advanced curriculum on designing, training, and deploying autonomous AI Agents using open-source models, LangChain, and Hugging Face infrastructure.
The EXIN Agile Scrum Foundation certification provides a comprehensive understanding of Agile principles and Scrum practices, equipping individuals with the knowledge to effectively contribute to Agile projects and cross-functional teams.
Exploration of Basic principles and advanced techniques of audio and video compression, internet protocols adapted to broadcasting, and next-generation digital transmission capabilities.
Developing on AWS helps developers understand how to use the AWS SDK to develop secure and highly scalable cloud applications.
From basic procedural syntax to sophisticated object-oriented programming techniques, establishing robust paradigms for .NET software architectural maintainability.
Main exams: Algorithms and data structures, Databases, Software Engineering, Computer Networks, Programming Languages, Human-Computer Interaction, Web services.
Open to Software Engineering Management and Lead AI Engineer opportunities, with a focus on architecting autonomous systems and empowering cross-functional teams to deliver highly scalable B2B solutions.