About Me
Hey! I am Lorenzo. I engineer backend infrastructure that is fast, resilient, and invisible.
As a Software Engineer, I focus on the hard problems that happen behind the user interface. My core expertise lies within the Java ecosystem, where I have extensive experience decoupling legacy systems and migrating them to modern Serverless and Containerized environments.
Recently, I have been expanding my focus into building high-performance analytical platforms (leveraging ClickHouse and Kafka) and exploring the integration of Applied AI into enterprise architectures, using RAG patterns and Vector Databases.
My engineering philosophy is simple: build systems that are easy to maintain, cost-effective to run, and ready to scale.
Skills
Languages & Frameworks
Distributed Systems & Data
Cloud & DevOps
Applied AI & Engineering
Projects
TubeGuardian
An AI-powered, polyglot microservices platform for semantic brand suitability based on the GARM framework. Leverages Retrieval-Augmented Generation (RAG) with Vector Databases to evaluate video inventory. Features event-driven AI inference via RabbitMQ and a deterministic rules engine.
Moneyverse
A production-grade, event-driven microservices platform. Engineered with a decentralized architecture using Kafka for asynchronous communication and ClickHouse for high-performance real-time analytics. Fully containerized and orchestrated via Kubernetes.
Shorty
A high-performance, serverless URL shortener architected on AWS. Designed to solve Java cold-start challenges using Tiered Compilation and custom runtime tuning. Features Infrastructure as Code (IaC) provisioning and single-digit millisecond latency.
/ Other Projects
Choreography Enforcer (CHOEN)
Master's Thesis Project. A prototype tool that synthesizes Solidity Smart Contracts directly from BPMN 2.0 diagrams. Acts as an on-chain enforcer to validate inter-organizational message exchanges and process compliance.
Applied Data Science & NLP
A collection of advanced analytics prototypes including Stock Market Prediction (SARIMA), a conversational NLP agent via Rasa, and complex graph analysis using NetworkX.
Decentralized Ticketing Network
A secure event ticketing platform built on Quorum (private Ethereum network). Leverages Smart Contracts for immutable ticket issuance and validation to prevent secondary market fraud.
Experience
Add Value
- Achieved 2–5× faster query performance by migrating analytical workloads from Elasticsearch to ClickHouse, enabling sub‑second insights on 100M+ procurement records with 95% analytical accuracy.
- Reduced operational costs by migrating backend workloads from EC2 to Java‑based AWS Lambda, enabling on‑demand compute instead of always‑on servers.
- Improved reliability of high‑volume data pipelines by designing and optimizing backend features for enterprise clients in Europe and the US.
Blue Reply
- Delivered 10+ integration microservices using Apache Camel, Spring Boot, and Quarkus, supporting synchronous and asynchronous workflows across distributed enterprise systems.
- Reduced coupling between legacy and modern systems by designing API‑first integrations across SOAP/REST, JMS messaging, and relational databases, accelerating delivery for client teams.
- Increased maintainability and performance by migrating 40+ legacy Camel routes to Camel 4, reducing technical debt and improving runtime behavior in production environments.
Education
UniversitĂ Politecnica delle Marche
Master’s degree in Computer and Automation Engineering
Grade: 110/110 summa cum laude
UniversitĂ Politecnica delle Marche
Bachelor’s degree in Computer and Automation Engineering
Grade: 110/110 summa cum laude