Software Engineer | ML & Computer Vision Focus
Passionate software engineer with a strong foundation in Python and C++. I specialize in developing machine learning models, with a particular focus on machine vision and AI-driven automation. My experience includes adept reverse engineering and software analysis, bringing a problem-solving mindset to complex challenges.
In addition to R&D, I have experience teaching programming and assisting students in mastering software concepts. I'm currently pursuing a MSc in Software Engineering and always eager to explore new AI technologies and build innovative solutions.
Technologies: Python, PyTorch, YOLOv8, DeepSORT, Qt5
Developed an AI-powered machine vision system for Drosophila melanogaster tracking, automating data extraction with YOLOv8 and DeepSORT. Significantly improved research efficiency and data reproducibility for Hebrew University of Jerusalem. Presented at the 'Southern Quality Conference 2024'.
View on GitHubTechnologies: Python, TensorFlow, scikit-learn, Google Colab (Random Forest, K-Means, SVM, LSTM)
Conducted ML research on behavioral data, exploring various models (Random Forests, K-Means, SVMs, LSTMs) to identify correlations and predict fly age (achieving R² = 0.4358). This project demonstrated strong skills in structured data analysis and machine learning experimentation.
(Source Code Not Publicly Available)June, 2024 - February, 2025 | Shamoon College of Engineering - SCE
May, 2024 - June, 2024 | LeadersApp Technologies
August, 2023 - October, 2023 | Amicell - Amit Industries Ltd.
October, 2022 - March, 2023 | Atid Plus
C/C++ C# Java Python
PyTorch TensorFlow YOLOv8/Ultralytics OpenCV Scikit-Learn Machine Vision Ollama/OpenAI API
Docker Git/GitHub Actions Linux/Windows Reverse Engineering (Ghydra) Unity 3D