Tamaian Rares

Developed and enhanced an internal Python-based automated testing framework to validate automotive software functionality. Implemented parameter-linking logic to improve error traceability and root-cause identification, and supported C++ climate software validation with OBD diagnostic error simulation.

Worked with a team of researchers on the COSA project, contributing to research activities in a smart agriculture framework. Assisted with research, optimization, writing, and English communication for project outputs.

Designed and built a Java Spring Boot backend service generating 160+ enterprise reports in DOCX, PDF, and XLSX formats. Created SQL data transformation pipelines for performance and consistency and supported CATI/CAWI/CAPI survey workflows using LimeSurvey and QueXS, with web customization via PHP, JavaScript, CSS, and HTML.

Developed a production-level PrestaShop module using PHP and MySQL. Contributed to implementation work supporting the e-commerce module functionality at delivery level.

Activities and societies: Research title: Scalable and Efficient Distributed Learning for Next-Generation Recommender Systems; skills include research, system design, ML/AI, optimization, distributed learning.

PhD in Computer Science focused on scalable and efficient distributed learning for next-generation recommender systems.

Activities and societies: Obtained an academic performance scholarship in all years. Coursework included Advanced Graph Theory, Artificial Intelligence, and Programming in Java & Python.

Master’s program in Computer Science & Software Engineering with advanced coursework in graph theory, AI, and programming in Java and Python.

Activities and societies: Earned an Erasmus+ Scholarship; ML research: comparative analysis of cost/benefit of different Vision Transformer architectures; skills included computer vision and research.

Erasmus+ master’s-level program in Computer Science & Software Engineering, including machine learning research on Vision Transformer architectures.

Grade: Grade 10; admitted as 2nd out of 1007 candidates (admission simulation test)

Activities and societies: Top of the class; obtained an academic performance scholarship in all years. Final project: SPS Smart-Parking-System using OCR (Tesseract) and YOLO trained on a custom dataset.

Bachelor’s in Computer Science with coursework spanning programming, databases, algorithms, and AI, and a final project involving OCR and YOLO-based smart parking data.

Activities and societies: Admitted at the best college in the region, in the best class; coursework included Mathematics, Computer Science, Problem Solving, ICT, and C++.

Secondary education focusing on Mathematics and Computer Science with a German-intensive track and coursework in math, computer science, and C++.

Activities and societies: Won a 3-week scholarship as an exchange pupil; participated in German-language school activities.

Short-term German exchange as an exchange pupil with a 3-week scholarship and participation in school activities in German.