Abdul Malik Shinkafi

Skills

MERN STACK: Developed full-stack web applications such as e-commerce platforms and clones of Netflix, Airbnb, Hulu, and Amazon, utilizing the MERN stack (MongoDB, Express.js, React.js, Node.js).
• E-commerce App: Built a cross-platform shopping app using React Native, Node.js, and Firebase, featuring seamless backend integration, payment processing, and user-optimized cart and checkout experiences.
• E-Transport System: Collaborated in the development of a cargo e-marketplace, using C++, MQTT, and
MySQL to connect users and streamline deliveries for a better user experience.
• Flower Pods: Developed a digital platform using ASP.NET, SQL , and C# for the non-profit Flower Pod, facilitating gardening education for individuals with learning disabilities and optimizing client management.
• Student-Connect: Developed a cross-platform application using the MERN stack, designed to enhance student networking through users' interests and collaborations, involving detailed research, agile design, iterative development, and extensive testing with feedback from over 100 students.
• Fitness App: Created a fitness app in Android Studio using Java, with seamless Firebase integration that provides users with tailored exercises and dietary recommendations based on individual goals.
• Obesity risk level Predictor: Developed an obesity detector using neural networks and random forest models, producing a predicting accuracy of 93%. The project aims to offer valuable insights for health informatics.
• Image Generator: Leveraged deep learning techniques to develop advanced image generators using DCGAN
and ProGAN, achieving high-quality synthetic image creation.
• Neural Machine Translation: Created a translation system with improved benchmark sequence-to-sequence and Transformer models, enhancing accuracy and efficiency.
• Advanced Emotional support learning platform: Developing an online learning platform that uses Convolutional Neural Networks (CNNs) for emotion recognition to provide emotional support for students during learning, allowing tutors to understand their students’ emotional states and adjust their teaching content accordingly. Utilized React.js for a dynamic front-end and Flask and Node.js for robust back-end services.
• Cloud solutions: Implemented AWS services, including EC2, EBS, S3, and Lambda for cloud-based solutions, and utilized Amazon EC2, AWS Autoscaling, and load balancers to implement autoscaling in cloud computing.

About

MSc in Artificial Intelligence with Distinction and graduated with a 1st class honors Bachelor's degree in Software Engineering, with extensive expertise across web development, mobile platforms, software engineering, and AI development. Proficient in Python, JavaScript, C++, and MERN Stack, complemented by strong database skills, machine learning, and deep learning. Renowned for adaptability and rapid mastery of emerging technologies, exceptional at innovative problem-solving. I am eager to apply my technical skills in a challenging role to contribute to pioneering solutions and drive organizational growth.