About me
I am a full-stack software developer with seven years of experience, whose competences have been applied mainly in financial IT services. My expertise lies in designing and developing innovative end-to-end solutions, especially in the FinTech field.
In my path, the project-oriented approach prevails over the technology-oriented one, although it is based on the passionate desire to deepen as much as possible the technical aspects of the most advanced or required technologies.
My experience is mainly based on the following areas:
- software web development with Java, Python and Angular;
- cloud computing and DevOps with AWS;
- data processing with SQL and Python and Artificial Intelligence.
The related skills have been continuously integrated through study and courses attendance, as well as the designing and realization of personal projects aimed at enforcing and consolidating them. All happened targeting the research of methodologies in order to optimize production flow by attending delivery timings.
Professional history
In 2017, I obtained my BA in School of new Technologies for Art - Computer Generated Animation at IED (Milan) with an evaluation of 110 cum laude and carried out the role of leader and coordinator of a 4-people-team for the thesis project.
Pipeline Technical Director at EDI
Right after graduating I was hired as Pipeline Technical Director at EDI, a professional figure dedicated to programming tools for internal use in the audiovisual advertising and film production. Here I was able to familiarize and deepen the knowledge of Python 2 programming language, already learned in the context of academic training and by attending some courses including Introduction to Computer Science and Programming using Python by MITx, passed with a score of 99/100, and CS50's Web Programming with Python and JavaScript by HarvardX. Over the years I have constantly followed this knowledge by developing further skills in training and personal research:
- knowledge of Python 3 programming language;
- development and deployment of "practical-RESTful" web APIs based on Python Django Rest Framework1, testified by self production of the mobile app A. Championship & Tournament (more than 2.000 users) and of a videogame served on web browser, Forging History, beyond other R&D personal projects;
- Python scripting for data analysis (NumPy, regex, SymPy, Pandas1, Jupyter Notebook, Markdown, LaTeX), also certified by attending the following courses: NumPy Fundamentals by W3School and Machine Learning and Data Science with Python - Profession AI 2023. This knowledge has been practiced on some research notebook related to linear algebra, combinatronics and strategy analysis (see more in the blog).
Full Stack Developer at Finwave
From 2019 to 2024 I was in charge of design, develop and maintain Java EE cloud solutions (e.g. ETLs, onboardings, banking management systems, matching rules) mainly based on the following technological stack: Spring Boot, JPA, Hibernate, Jakarta EE, SQL, Gradle and Angular 8+. I gained this experience over the course of five years covering the role of Full Stack Developer at Finwave Spa; two of these years has been spent in the role of external consultant in another company of the group, allowing me to explore different approaches and to enrich my technology stack (for example by working on distributed microservices application, with queue management and data streaming).
All the projects I have worked on have been successfully completed in compliance with the schedule and requirements required by the customer. My reliability has allowed me to become a reference figure and take on roles of greater responsibility (level shift in 2022), carrying out resource placements, task coordination and supervision of deployment processes (CI/CD). In terms of work organization, I normally rely on the Atlassian suite (Bitbucket, Jira, Bamboo) and GitLab, both aimed at managing sprints and team work distribution according to the Agile methodology.
In this scope I was able to work daily with wide amounts of data and this allowed me to constantly increase my knowledge of relational databases (mainly PostgreSQL and MySQL), that I practiced by writing down complex SQL instructions for analysis, reporting, and transformation of the data managed by the application, always keeping an eye on the performance issues.
At the same time, I gained increasing knowledge in the DevOps field, reinforced by further study and research, starting with the course Docker and Kubernetes (Udemy) in 2020. I also frequently put web hosting skills into practice:
- Linux and PaaS hosting (Kamatera, PythonAnywhere, Aruba, register.it);
- reverse proxying (nginx);
- CI/CD;
- Docker and docker-compose;
- SSL certificates configuration (Certbot);
- websites with Grav CMS (this website is managed with Grav and hosted on a Kamatera's Dockerized server);
To these competences, briefly, are added:
- development of client reactive apps using the Angular framework (4-years-experience)
- users’ authentication, profiling e data encrypting (OAuth, JWT, Identity Manager/Provider, SSO);
- fine-grained data access control (e.g. Hibernate Filter and Spring AOP for multi-tenancy);
- development of hybrid mobile apps (Capacitor);
- unit tests, automated tests (test containers) and bot-based tests (Selenium).
Cloud computing (AWS)
My goal is to expand my knowledge and expertise in cloud computing by gaining more experience with Amazon's cloud computing services (AWS). In 2024, I successfully earned the AWS Certified Developer Associate certification.
Skills related to AWS on which I had the opportunity to experience, among others, by migrating a web service from virtualized Python environment to dockerized environment in AWS ECS and by developing an e-commerce shipping platform (work in progress):
- cloud computing (EC2, AutoScaling);
- containers orchestration (ECS);
- serverless applications development (API Gateway, Lambda, Cognito, S3);
- DNS (Route 53);
- volumes storage (EBS);
- Infrastructure as Code (IaC) (Cloud Formation, SAM);
- networking (VPC, subnets, Security Groups);
- monitoring (Cloud Watch, Lambda , SNS).
Since joining Engineering Ingegneria Informatica S.p.A in 2024 as a Senior Developer, I have focused on enhancing cloud infrastructure and DevOps practices using AWS. My main contributions include supporting CI/CD automation with CodePipeline, implementing serverless solutions with Lambda (including local testing in WSL Linux environments using SAM), and orchestrating containers via ECS Fargate. I have also worked with S3 for scalable storage, Secrets Manager, IAM for access control, and Amazon MSK (Kafka) for managed streaming. These activities have strengthened my expertise in AWS, particularly in infrastructure as code (CloudFormation), automation, and scalable cloud architectures.
Senior Developer at Engineering Group
In November 2024 I left the job at Finwave and started a new work experience as Senior Developer at Engineering Ingegneria Informatica S.p.A.
As a senior developer, I led the migration of a legacy management system for Q8 from a monolithic MVC architecture to AWS-hosted microservices. My work included designing robust solutions for infrastructure and service communication, developing REST APIs with Spring Boot (Java 17), building Angular 16 front-ends, and managing CI/CD and AWS resources using IaC tools.
I also mentored colleagues in adopting generative AI tools, collaborated internationally in English, and balanced these responsibilities with ongoing AI studies and company-wide initiatives.
Master of Science in Applied Artificial Intelligence
In January 2025, I began pursuing a Master of Science in Applied Artificial Intelligence at the International University of Applied Sciences in Germany. My aim is to advance beyond my current bachelor's level education and gain practical expertise in machine learning and AI.
Previously, I studied the core principles of data science, covering both statistical and mathematical foundations—such as calculus, linear algebra, probability, distributions, and combinatorics. I have also gained hands-on experience with key Python scientific libraries, which I look forward to deepening further.
Further Achievements
Looking ahead, one of my key objectives is to complement my master's degree by gaining cloud computing expertise, specifically by earning the AWS Certified Machine Learning – Specialty certification.
Additionally, I aim to deepen my proficiency with machine learning libraries—particularly TensorFlow, as well as pandas and NumPy—to support AI product integration. To achieve this, I plan to complete relevant courses and actively contribute to open-source projects.
Skill table
More
- Created CGI videos using Autodesk Maya, Blender, and Nuke for modeling, lighting, and compositing.
- Edited images and videos with Adobe Photoshop, Premiere, and Gimp for icons, maps, and graphics.
- Developed procedural shaders for 3D software (Unreal Engine, Maya) using GLSL.
- Built pre-visualization tools for 3D geometries in C++, OpenGL, GLSL, and Alembic:
- QBatica (2019)
