Βασίλης Πλιάσσας
@0002683
Backend Engineer with 10+ years building scalable PHP/Python systems and recommender engines.
What I'm looking for
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
Substitute Science Teacher
Ministry of Education and Religious Affairs
Jan 2009 - Present (17 years 5 months)
Taught Physics, Mathematics, Chemistry, and Biology in secondary education, applying strong communication and instructional skills to support student learning. Integrated modern digital tools and audiovisual media to improve engagement and understanding.
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
Data Science with Python, Data Science with Python
Currently pursuing Data Science with Python coursework.
University of Minnesota
MSc in Special Education, Special Education
Earned an MSc in Special Education in 2014.
Mathesis / ΕΚΠΑ
HTML5, CSS3, JavaScript, Web Development (HTML5/CSS3/JavaScript)
Completed training in HTML5, CSS3, and JavaScript in 2008.
University of Minnesota
Recommender Systems, Recommender Systems
Completed a program/course on Recommender Systems.
Stanford University
Machine Learning, Machine Learning
Completed coursework on Machine Learning via Coursera.
Aristotle University of Thessaloniki
BSc, Physics
Earned a BSc in Physics in 2008.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/wtheredJob categories
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