Razvan Rotundu

Payroll RESTful Web Service

Java, Spring Boot

Built a RESTful API for managing resources using HTTP methods and REST principles.
Implemented error handling and API testing for robust, reliable performance.
Practiced troubleshooting backend issues and resolving integration problems.

Class Roster Management System

Java, Spring

Designed a command-line application for managing student records.
Applied MVC architecture and Spring dependency injection for low-coupling, modular code.
Debugged and tested application components to ensure smooth operation and clear error reporting.

Lox Interpreter

Java

Built a fully functional tree-walk interpreter for the Lox programming language in Java by following the first half of Crafting Interpreters by Robert Nystrom.
Implemented recursive descent parser to construct Lox syntax tree.
Used Visitor design pattern to evaluate syntax tree classes while keeping code legible.
Simplified the definition of expression classes using metaprogramming.
Strengthened problem-solving abilities through debugging logic issues.

Chess

Ruby

-Developed a fully functional chess game inside terminal supporting all core game rules. -Implemented game logic representing special moves like castling, en-passant, etc. -Added persistence to game state by implementing JSON marshalling/unmarshalling, enabling saving and loading. -Used Rspec for unit testing, and robocop for linting. -Managed dependencies using Bundler.

Text Editor (Team Project)

Java, Swing

Developed a text editor with features including file I/O, text formatting, and real time spell-checking.
Implemented Damerau-Levenstein algorithm to suggest corrections for misspelled words.
Worked collaboratively using Git for version control and conducted peer code reviews.
Gained hands-on experience in software development troubleshooting, debugging, and using dependency management tools (Maven).

Bitbuddy (Team Project)

C++, QT

Collaborated as part of a team to develop a “Tamagotchi-like” virtual pet application, with a custom GUI built with QT.
Designed and implemented a tic-tac-toe minigame with fully functional AI opponents.
Used Git to facilitate parallel development of features across different branches.
Participated in group code review and collaborative discussion of design decisions.

Shopping.py

Python, Scitkit-learn, Numpy

Built a K-Neighbors classifier to predict if a user will make a purchase on an e-commerce page based on 18 evidence labels.
Used Scikit-learn to segregate dataset into training and test sets.
Used Scikit-Learn to train model and evaluate output.
Based on the data set of Sakar et al.

Traffic.py

Python, TensorFlow, Numpy

Developed an image classification neural network for traffic sign recognition.
Stored and processed dataset using NumPy.
Used TensorFlow to generate a convolutional neural network model trained on the German Traffic Sign Recognition Benchmark (GTSRB) dataset.

Attention.py

Python, Scitkit-learn, Numpy

Developed a language model to predict a masked word in a sentence.
Used Google’s transformer-based BERT language model to generate word predictions.
Implemented feature to visualize each language model attention head.