FAQs

Tarek Farhat’s portfolio showcases practical projects such as the VR Smart Speech Coach, an award-winning interactive VR game utilizing Unreal Engine 5 combined with AI and machine learning to provide real-time performance feedback. Other projects include developing website templates and deploying real-world web applications with AI integration focused on NLP, computer vision, and recommendation systems. These projects highlight his capability to create intelligent, user-focused software solutions combining AI/ML and full-stack engineering expertise.

Effective AI solutions for recommendation systems and computer vision include leveraging machine learning models that analyze user data and images to deliver personalized and intuitive experiences. Tarek Farhat’s expertise in NLP, computer vision, and recommendation systems enables the design of robust AI-driven software products that optimize user engagement. These solutions are developed through deep learning techniques and optimized model training to enhance accuracy and performance within real-world applications, integrated seamlessly with full-stack development and system design.

A junior full stack developer with AI/ML experience should have proficiency in front-end and back-end web technologies such as React, Angular18, Bootstrap, Node.js, and Express. They should also be familiar with database design using MySQL and building Web APIs with frameworks like ASP.NET 7.0, leveraging best practices like layered architecture and tools such as NHibernate, POSTMAN, and Swagger for testing and quality assurance. Experience in clean code principles and system design is crucial to effectively integrate AI/ML components within full-stack applications.

The VR Smart Speech Coach project uses AI and machine learning to offer an interactive language learning experience by providing real-time feedback on pronunciation and speech performance. Built with Unreal Engine 5 and C++ scripting, it enhances user engagement through intelligent systems that can adapt to learners' needs. This immersive approach leverages AI-driven feedback to help users improve their speech skills more effectively compared to traditional methods, making language learning both fun and efficient.

Tarek Farhat specializes in AI/ML software engineering services that focus on building intelligent systems tailored to solve real-world problems. His expertise includes deep learning, neural networks, model optimization, natural language processing, computer vision, and recommendation systems. These services cover the full software development lifecycle from system design and full-stack development to deploying scalable AI-driven solutions. You can explore his full range of AI and machine learning services designed to deliver impactful and efficient intelligent applications on his portfolio pages.

Potential clients and collaborators interested in AI/ML projects can reach out to Tarek Farhat through multiple channels listed on his website. Whether you want to discuss AI/ML solutions or explore software engineering collaboration, Tarek encourages connecting via LinkedIn, GitHub, Instagram, or email. The website's 'Let's Connect' section provides easy access to these contact points, making communication straightforward and welcoming for anyone wanting to leverage his expertise in AI and software development.

Tarek Farhat's professional background includes roles such as Junior Full Stack Developer, Software Developer, and Software Development Intern. He has been involved with companies like Uplyft Agency developing website templates and InKript Technologies, a subsidiary of Resource Group, where he designed and deployed real-world web applications. Throughout his career, Tarek has blended AI/ML expertise with software engineering to develop intelligent systems and solutions. His portfolio reflects a balance of practical web applications and innovative AI-powered projects.

One of Tarek Farhat's featured AI/ML projects is the VR Smart Speech Coach, an interactive virtual reality game built using Unreal Engine 5 with C++ scripting. This project showcases how machine learning techniques are applied to enhance user engagement by providing real-time feedback on performance. The VR Smart Speech Coach exemplifies his capability to merge AI with advanced software engineering and game development, delivering innovative solutions that have practical applications in user training and coaching.

Tarek Farhat utilizes a range of modern web technologies and frameworks for full-stack development. His skills include React, Express, Node.js for backend and frontend development, MySQL for database design, and Angular18 paired with Bootstrap and Angular Material for user interface creation. He also develops Web APIs using Visual Studio 2022 with ASP.NET 7.0 layered architecture and NHibernate. Testing tools like POSTMAN and Swagger are integrated to ensure robust and clean code. These competencies allow him to design scalable, clean, and maintainable software systems.

Tarek Farhat specializes in AI and machine learning, focusing on building intelligent systems that solve real-world problems. His expertise includes deep learning, neural networks, model optimization, natural language processing (NLP), computer vision, and recommendation systems. He applies these skills to create impactful AI solutions that enhance user engagement and system performance, demonstrated in projects such as VR Smart Speech Coach which utilizes ML for real-time feedback. You can explore his expertise and projects on the portfolio section of his website.