As a senior developer with extensive experience in Python, I excel in building scalable, high-performance systems.
My expertise spans Django, Vue.js, and Airflow for full-stack and data pipeline development.
Additionally, I have explored LangChain for integrating AI and building intelligent applications.
Skilled in integrating services, optimizing data pipelines, and ensuring quality through automated testing with Pytest and JUnit, I deliver efficient solutions across diverse projects.
Java, especially with the Spring Boot framework, forms the solid foundation of my career.
Developed numerous high-traffic microservices, primarily for the banking and financial sector.
Expertise in tackling advanced challenges, such as crafting multiproject setups using the latest versions of Gradle and working with the Groovy programming language.
Throughout my journey, I've had the chance to work with a variety of databases, including SQL (MySQL and PostgreSQL), MongoDB, Oracle, Kafka, and Neo4J.
Handling different data scales and types has been a valuable experience. I'm particularly comfortable with MongoDB and SQL, and recent projects have allowed me to work with hybrid data sources effectively.
Though still in the early stages, my proficiency with Docker is consistently evolving.
I'm steadily gaining confidence in orchestrating containerized environments.
Additionally, I've ventured into leveraging select AWS features to build basic services, harnessing its capabilities.
Responsible for the development and maintenance of a range of company software applications, including web-based tools and data migration solutions.
These products, tailored for the Civil sector, empower professionals to augment their expertise and access essential insights for informed real estate decisions, leveraging geographic, risk assessment, and zone-price data.
Additionally, led the development of a high-performance software solution designed to seamlessly migrate data from hybrid databases, ensuring optimal efficiency
Contributed to the development of distributed and scalable backend microservices supporting high-traffic applications and web apps, serving prominent Italian banking clients.
Additionally, collaborated on the implementation of custom chatbots using Google services, streamlining internal banking operations.
R&D project on auto-Data-Preprocessing and auto-Machine Learning techniques through
Meta-learning used for auto extraction, process and enrichment of the customer’s data-
pool.
Development (from scratch) of a preprocessing framework in java, capable of competing
with the existing ETLs
Master graduation as Software Engineer at Polytechnic University of Turin (Italy)