I am a soon-to-be graduate with a Bachelor’s Degree in Computer Science, entering the field with a deep passion and curiosity after mastering music performance and production at the highest levels. With a unique background that includes living abroad, studying diverse disciplines, and working with top professionals in the music industry, I have demonstrated my ability to excel in environments that demand creativity, dedication, and plasticity. After performing globally and collaborating with renowned industry figures, I am confident in my ability to thrive in any professional setting. Known for my relentless work ethic, professionalism, and passion for growth, I excel in leading projects and fostering collaborative team environments. I am eager to transition into the tech world, where I can continue to innovate, learn, and contribute to the success of high-performing teams.
Nand2Tetris Project
Built a fully functional computer system from NAND gates up to virtual machine, assembler, and compiler
Handwriting Recognition System
Developed a handwriting recognition system using a multi-layer perceptron neural network in C++, achieving 96% accuracy in digit recognition tasks.
Virtual Memory Management System
Implemented a virtual memory management system in C++, featuring dynamic memory allocation and page replacement algorithms.
User-Level Thread Library
Developed a custom user-level thread management library in C++.
Classification Algorithms (SVMs & Naive Bayes)
Implemented and evaluated SVM and Naive Bayes classifiers to solve real-world classification problems on datasets using Python.
Gradient-Based Learning Algorithms
Developed gradient-based learning algorithms for optimizing logistic regression models, implementing learning rate strategies in Python.
Hackathon Project (LINKED.HEB)
Built a machine learning model to predict successful collaborations between participants at social mixer events.
Algorithms & Data Analysis