I build tools, solve problems, and make ideas real with code.
Welcome to my GitHub. Here’s where I explore data science, software development and interesting tech experiments.
🗂️ A curated collection of projects across:
- Machine Learning & Data Projects
- Software Tools & Utilities (e.g., SSH clients, CLI helpers)
- Cross-platform & Desktop Apps
- Learning exercises & experiments
All repositories are written with clarity and purpose — whether utility-focused or learning-based.
Below are some repositories I’m proud to share. Click to explore them:
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From Query-Based Segment Retrieval to Answer Generation in Egocentric Videos
An egocentric video question answering pipeline, combining temporal event localization with multimodal vision-language models, achieving accurate and context-aware responses.
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An enhanced version of the GLIMPSE summarization framework, incorporating novel modifications to improve the extraction of common and unique viewpoints from multiple peer reviews.
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A cross-platform .NET MAUI application that performs real-time object detection using YOLOv11 models. Built with ONNX Runtime for hardware-accelerated neural network inference on Windows, Android, iOS, and macOS.
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A complete PyTorch implementation of a custom CNN and a ResNet-based architecture for classifying images in the CIFAR-10 dataset.
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MoodPlayer is a Recommender System that uses smartphone sensor data and the meta data of music to select and recommend the most desirable music based on the type of driver and affect his mood and driving.
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COVID19-Patient-Health_Predicition
This project leverages machine learning techniques to predict the health status of COVID-19 patients. The goal is to optimize resource allocation in healthcare settings by accurately forecasting patient outcomes based on their clinical and demographic data.
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Predicting the trend of a stock on the Iranian Stock Exchange using LSTM and GRU Neural Networks on TSETMC Time-Series Dataset.
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A modern Windows application for creating a secure SOCKS5 proxy tunnel over SSH. Built with WinUI 3 and the Windows App SDK, Fluent SSH is the next‑generation successor to SSH‑Direct‑Client, redesigned from the ground up with a native Fluent Design experience.
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A WPF-based Windows application that creates a secure SOCKS5 proxy tunnel to a remote server. It's designed to be a simple, graphical alternative to the ssh -D or ssh -L command.
📌 Pick any to explore features, code, or demo notebooks!
Languages:
C#, Python, Java, MATLAB
Frameworks & Tools:
- 🐍 Scikit-Learn / PyTorch / Tensorflow / Keras
- 🖥️ .NET WPF / .NET MAUI
Skills:
- AI Engineering / Data Analysis / Data Engineering / Data Warehousing
✔ Diving deeper into ML/DL with practical pipelines
✔ Improving my tools with better UI & user workflows
✔ Sharing clean, reusable code that others can learn from
Connect with me, ask questions, suggest ideas, or collaborate on a project:
LinkedIn: https://www.linkedin.com/in/arvinesmaeily
Mail: [email protected]
Thanks for visiting my GitHub! 🚀