bitrey.dev by

Alessandro Amella

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Resume

About Me

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Full-stack developer from Modena, now in Aarhus
, where I am studying for my Master's in Computer Science.
I help startups and companies design and develop web applications, mobile apps and software, from architecture definition to production deployment.
I work mainly in the JavaScript ecosystem (MERN stack), but also handle AI and LLM integrations, cloud infrastructure, process automation and data management. More about me and my projects below!

Education

MSc in Computer Science (AI specialisation)

Aarhus University · 2026 – present

BSc in Computer Science

University of Bologna · until March 2026

Erasmus+

Brno University of Technology

Diploma in Telecommunications

I.T.I.S. E. Fermi (Modena)

Other interests of mine:


  1. System Administrator

    • System administrator at Infolog S.r.l., where I worked with the development team to create a web application for warehouse management.
    • Refactored the Microsoft SQL Server database.
  2. Software Developer

    • Internship at the public transport company SETA S.p.A., where I developed the software for generating audio files for announcements on buses, currently used across the entire fleet in Modena, Reggio Emilia and Piacenza.
    • Training of a machine learning model for passenger counting using onboard cameras.
  3. Web Developer

    • Design and development of a microservice system for an oxygenator production plant, from the general architecture to Raspberry Pi devices on Arch Linux.
    • Development of cost analysis software and a Flutter app to interface with medical devices.
  4. Freelance Developer

    Working with startups on various web projects. Mostly MERN stack (or often PostgreSQL and NestJS). I've worked on microservices architectures with automated CI/CD pipelines, cloud infrastructure deployment, and plenty of AI / LLM service integration.

Some of my projects

These are just some of the projects I have worked on, many more are on GitHub.

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Live2025–2026·Solo project

Bachelor's thesis and empirical case study on LLM-based information extraction. Instead of brittle DOM scrapers, an LLM pipeline reads messy Italian public-transport strike notices (HTML and PDF) and pulls out structured data: dates, scope and guaranteed service windows. I ran 1,400+ benchmarks across GPT, Gemini, Llama and DeepSeek and several preprocessing strategies, including a DOM-chaos resilience test, reaching an F1-score above 0.95 on field extraction. A companion React Native app sends real-time strike alerts.

Built with

NestJS
Prisma + PostgreSQL
RabbitMQ
OpenAI SDK
React Native

Let's keep in touch

For quotes, consultations or information, you can contact me through the following form (or via the channels at the bottom right).

I am open to:

Student job / part-time

I am doing my Master's in Aarhus and I am looking for a student job in development, a few days a week.


Web, software and app development

Development of websites, web applications and custom software.


IT consulting

Consulting on IT problems, choice of technologies and solutions.


Other

Any other information or request.