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Βασίλης Πλιάσσας
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Βασίλης Πλιάσσας

@0002683

Backend Engineer with 10+ years building scalable PHP/Python systems and recommender engines.

Greece
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What I'm looking for

I’m looking for a team where I can build scalable backend systems with clean MVC architecture and integrate Machine Learning recommender engines, taking ownership of APIs, databases, and production-ready performance.

I’m a Backend Engineer with more than 10 years of proven experience designing and building robust architectures in PHP (Laravel), Python, Java, and JavaScript. I bring deep knowledge of algorithms, data structures, recommender systems, and MVC architecture, and I’m equally comfortable with complex enterprise applications and automating backend infrastructure.

As Owner / Lead Developer at FilmBase, I designed and delivered a film platform with an integrated Machine Learning system for personalized user recommendations. I developed a dynamic recommender system using content-based and collaborative filtering, improving recommendation accuracy based on user interaction.

I implemented the full CRUD lifecycle plus ratings, comments, watchlists, and advanced filtered search. I also connected metadata across actors, directors, genres, and related tags to create a rich relational network, building the application with JavaScript/HTML5/CSS3 on the frontend, Laravel (PHP) on the backend, and PostgreSQL for the database layer.

Beyond software, I’ve worked as a Substitute Science Teacher for the Ministry of Education & Religious Affairs, teaching Physics, Mathematics, Chemistry, and Biology and integrating modern digital tools to improve engagement. I’m currently strengthening my technical foundation through Data Science with Python (in progress) and I’m motivated by open-source communities, problem-solving, and clear communication.

Experience

Work history, roles, and key accomplishments

FI

FilmBase Lead Developer

FilmBase

Designed and built a film platform featuring an integrated machine-learning recommendation system for personalized user suggestions. Developed content-based and collaborative filtering recommenders, implemented CRUD workflows (ratings, comments, watchlists), and built advanced filtered search with rich relational metadata for actors, directors, genres, and tags.

Education

Degrees, certifications, and relevant coursework

Sofia University St. Kl. Ohridski logoSO

Sofia University St. Kl. Ohridski

Data Science with Python, Data Science with Python

Currently pursuing Data Science with Python coursework.

UM

University of Minnesota

MSc in Special Education, Special Education

Earned an MSc in Special Education in 2014.

MA

Mathesis / ΕΚΠΑ

HTML5, CSS3, JavaScript, Web Development (HTML5/CSS3/JavaScript)

Completed training in HTML5, CSS3, and JavaScript in 2008.

University of Minnesota logoUM

University of Minnesota

Recommender Systems, Recommender Systems

Completed a program/course on Recommender Systems.

Stanford University logoSU

Stanford University

Machine Learning, Machine Learning

Completed coursework on Machine Learning via Coursera.

Aristotle University of Thessaloniki logoAT

Aristotle University of Thessaloniki

BSc, Physics

Earned a BSc in Physics in 2008.

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