Omar Enayet

A distributed application for the automatic and scheduled tiering (archiving) of files. Supports multiple NAS storage systems and both Windows and Linux natively. Work involved Windows services, web services, and websites.

Used Native C++.

My personal blog where I talk about algorithms and artificial intelligence.

This was an open source project. I participated in the development of an Android (Xamarin) and C# desktop application which controls the Risha Laser Cutter via Bluetooth.

An application that works with SharePoint to externalize files outside the DB. Users can access/edit the files via SharePoint normally though the files may exist on remote NAS servers. Users can use the UI to import/export huge masses of files to NAS devices. Languages used: C# and C++.

This was a freelance project which I wrote in Java for a Ph.D. student, and used the Weka machine learning library. It used several supervised learning algorithms and applied cross validation and testing.

Developed from scratch a C++ component (Unmanaged DLL) to register with EMC VNX & Isilon devices to get real-time file system events and also able to execute API calls & CLI commands on these devices. Supported both RabbitMQ & direct RPC communication with EMC CEE service.

This component is a major part of the peer software file management solutions.

Developed from scratch a C++ component (Unmanaged DLL) to register with NetApp 7-mode devices to get real-time file system events and also able to execute API calls and detect connection problems.

This component is a major part of the peer software file management solutions.

A core component of peer software file management solutions. I developed it from scratch using unmanaged C++. It interfaces with different components (called connectors) to get file system events from different NAS devices (EMC VNX and Isilon, NetApp 7-mode or c-dot) or Windows servers. It gets a constant stream of events and distills the events out putting into consideration different event patterns that needs to be handled. The stream of distilled events gives the file management application the abstract file operation being performed.

Using Android and iOS mobile applications, users were able to access their files residing on their company's file servers or NAS devices, securely and remotely from anywhere in the world. A WCF service serves the requests, an administration website is provided, an additional security layer was added.

Used C#, WCF, C++, Entity framework, LINQ, and ASP.NET.

Performed data pre-processing and analysis on a dozen of millions of records of SMS donations data. Analyzed the marketing campaigns, channels (such as TV, Radio, SMS, FB) and different causes (School Feeding, Feast Feeding ..etc.) that encouraged donators to donate. Performed RFM Analysis (customer value) using the donator data provided.

I used R for the analysis and Excel for providing reports and conclusions.

[Abstract] Research in learning and planning in real-time strategy (RTS) games is very interesting in several industries such as military industry, robotics, and most importantly game industry. A recent published work on online case-based planning in RTS Games does not include the capability of online learning from experience, so the knowledge certainty remains constant, which leads to inefficient decisions. In this paper, an intelligent agent model based on both online case-based planning (OLCBP) and reinforcement learning (RL) techniques is proposed. In addition, the proposed model has been evaluated using empirical simulation on Wargus (an open-source clone of the well known RTS game Warcraft 2). This evaluation shows that the proposed model increases the certainty of the case base by learning from experience, and hence the process of decision making for selecting more efficient, effective and successful plans.