Foday Samura
About me: I am a versatile software engineer specializing in web application development with expertise in both front-end and back-end technologies. My professional focus is on creating responsive, user-centric applications that deliver exceptional experiences across all devices and platforms. Throughout my career, I've built and maintained web applications with a strong emphasis on performance optimization. In one notable project, I successfully reduced application loading time and increased user engagement from 50% to 95% through targeted optimization techniques. My technical expertise includes: - Programming & Software Engineering: JavaScript/TypeScript, Java, Node.js, and comprehensive Web Development - Front-End Development: React.js, AngularJS, MobX, Redux, HTML/HTML5, CSS, and UI/UX Design - Back-End Development: REST APIs, GraphQL (Apollo Server/Client, AWS AppSync), MongoDB, MySQL - Cloud Experience: AWS (IAM, API Gateway, AppSync, Lambda, CDK), Pivotal Cloud Foundry - Agile Methodologies: Scrum, collaboration in cross-functional teams, planning, and execution - DevOps & Code Quality: Git (GitHub, Bitbucket), Jest, Enzyme My technical approach involves: - Developing robust, scalable web applications using modern frameworks and languages - Implementing responsive design principles to ensure seamless experiences across all devices - Integrating front-end applications with back-end services and APIs - Applying comprehensive testing methodologies, including unit, functional, user, end-to-end, and A/B testing - Optimizing applications for speed, efficiency, and SEO performance - Adhering to web standards and accessibility guidelines I'm passionate about writing clean, efficient code and conducting thorough code reviews to maintain high-quality standards. My collaborative approach extends beyond development—I regularly partner with UX/UI designers, product managers, and stakeholders to align technical solutions with business objectives. I remain committed to continuous learning, staying current with emerging technologies and methodologies in the fast-evolving web development landscape.
Total Score: 31
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 2: Machine Learning for Regression
Score: 5 = 5 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 3: Machine Learning for Classification
Score: 4 = 3 (questions) + 0 (FAQ) + 1 (learning in public)
Learning in public links: Show
Homework 4: Evaluation Metrics for Classification
Score: 4 = 3 (questions) + 0 (FAQ) + 1 (learning in public)
Learning in public links: Show
Homework 5: Deploying Machine Learning Models
Score: 5 = 5 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 6: Decision Trees and Ensemble Learning
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission