Kevin Ngueyn

Developed a platform for broadcasting real-time service updates across digital screens, mobile apps, and website integrations, reaching millions of riders. •Spearheaded the development of a real-time transit updates platform using React, Redux, and Context API, improving transit update delivery speeds by 35% and providing real-time updates to millions of riders across web, mobile apps, and digital screens. •Optimized live notifications with WebSocket-based and SSE technologies, achieving 100% up-to-the-second updates and reducing alert latency by 50%, improving rider engagement and reducing missed notifications. •Built and deployed a user-friendly content management system (CMS) with React, React Hook Form, and Zustand, reducing alert management time by 40% and enabling quicker responses to service disruptions for MTA staff. •Designed and developed an accessible audible alert system using TTS APIs, Web Speech API, and AWS Polly, improving engagement from blind and low-vision riders by 30% and reaching 5,000+ riders. •Developed a rich-text editor with React and Draft.js, reducing update posting time by 50% and improving alert accuracy, ensuring emergency updates could be published swiftly. •Led the integration of multi-language support and ARIA-compliant components, improving accessibility and user satisfaction by 25% and expanding the platform’s reach to diverse commuter groups. •Designed and implemented unit testing for React components with Jest and React Testing Library, ensuring the reliability and stability of the front-end. •Enhanced mobile app performance by leveraging Progressive Web App (PWA) features, Service Workers, and IndexedDB, resulting in a 40% increase in app usage during subway outages. •Redesigned and deployed a GraphQL API with Node.js, Apollo Server, and PostgreSQL, reducing query response times by 40% and streamlining integrations with multiple transit systems, serving 3M+ users. •Pioneered background processing for push notifications using AWS Lambda and SNS, reducing delivery time by 20% and improving battery life for mobile users during peak hours. •Collaborated with cross-functional teams in Agile sprints, accelerating deployment by 20%, and mentored junior developers to maintain high code quality. Developed an app for automating data extraction and improving data accuracy via web scraping and third-party API integrations. •Led the development of a Personal Info Lookup App, utilizing web scraping with Selenium WebDriver and third-party API integrations (RestSharp, HttpClient), reducing manual data collection by 50%, cutting extraction time by 60%, and improving data accuracy and retrieval speed by 30%. •Optimized the frontend with Angular, increasing user engagement by 25% and boosting user retention by 15% through enhanced responsiveness and streamlined components. •Architected robust backend systems using Node.js and Express, improving data processing efficiency by 35%, handling 50% more traffic, and ensuring scalability without performance degradation. •Implemented advanced security measures, including SSL/TLS encryption, OAuth 2.0 with OpenID Connect, and AES/RSA encryption for data protection, reducing unauthorized access incidents by 70% and ensuring GDPR compliance. •Deployed the app on AWS using EC2 for scalable computing and S3 for object storage, reducing deployment times by 40% and ensuring high availability with minimal downtime via automated updates using AWS CodePipeline and CodeDeploy.•Collaborated closely with cross-functional teams to deliver seamless projects, ensuring alignment of business requirements with technical features. Built a scalable platform for content management with a focus on optimizing performance and streamlining workflows. •Spearheaded the creation of dynamic UI components in Angular, integrating with ContentStack SDK and GraphQL, reducing content loading time by 35% and enhancing user experience. •Designed and deployed RESTful API endpoints with Express.js, cutting API call response times by 30%, and integrated Redis caching to reduce unnecessary API calls, improving overall API response time by 20%. •Automated legacy content transformation and migration using Node.js middleware and ContentStack APIs, cutting manual formatting efforts by 50% and reducing migration time by 60%, eliminating human error. •Architected content models with localization support and custom relationships in ContentStack, improving scalability and content management efficiency. •Optimized image assets with Webpack and Cloudinary, leading to a 30% improvement in page load speeds, enhancing user experience and performance. •Reduced redundant API calls and minimized client-side load by implementing efficient GraphQL queries, improving data retrieval efficiency by 40%.

Spearheaded the development of a secure and scalable web platform using React and Django, streamlining automated binary analysis and vulnerability detection, and significantly reducing manual analysis time by 50%. •Enhanced user engagement by 30% by designing and implementing a highly interactive React-based frontend, improving accessibility and user interaction. •Developed a highly efficient React dashboard with Redux for state management, decreasing user interaction time by 25% and enabling quicker tracking of vulnerabilities and decompiled code. •Optimized platform performance and security by developing a robust Django backend, which supported high throughput for binary uploads, analysis initiation, and report retrieval, cutting report generation time by 35%. •Improved real-time user experience by integrating WebSockets and Django Channels, enabling real-time analysis progress updates and alerts, reducing manual monitoring efforts by 40%. •Built a scalable and secure system architecture using Django REST Framework for backend services, resulting in a 40% reduction in security-related incidents through secure file handling and sandboxed execution with Docker and Azure Container Instances. •Boosted database performance by 50% by optimizing PostgreSQL queries, handling complex binary analysis data with ease and efficiency. •Reduced infrastructure costs by 30% by deploying the platform on Azure Kubernetes Service (AKS) with Docker, ensuring high availability and reducing deployment complexity. •Improved platform security by conducting penetration tests with OWASP ZAP and Burp Suite, increasing security compliance by 20% through addressing identified vulnerabilities.

Developed a high-performance, secure, and user-friendly checkout process that boosted transaction completion rates by 30%. Enhanced both performance and security, achieving measurable improvements across the platform. •Optimized the checkout experience using React and Redux, reducing cart abandonment by 25% through seamless cart updates and order processing across devices. •Integrated the Stripe API for secure payment handling, utilizing tokenization and real-time transaction validation, cutting fraudulent transactions by 15%. •Engineered a RESTful API with Node and Express for efficient order and payment management, reducing API response times by 40% and improving system scalability. •Strengthened security by implementing JWT authentication, reducing unauthorized access attempts by 20% and safeguarding sensitive customer data. •Enhanced performance by applying React.memo and lazy loading, decreasing initial load times by 50%, which improved user retention and engagement. •Accelerated query performance by 30% through optimized MongoDB indexing, enabling faster access to order histories and inventory data. •Streamlined form validation with Formik and Yup, reducing incorrect submissions by 95%, ensuring a smoother and error-free checkout process. •Improved global state management using Redux Toolkit and Context API, reducing friction and enhancing cart synchronization across pages, resulting in a 20% increase in user satisfaction. Contributed to the development of an AI-powered accounting platform that automated financial data processing and generated intelligent reports. •Leveraged React to create a highly dynamic, responsive UI that increased mobile traffic by 25%, ensuring seamless access to detailed financial reports and analytics across devices. •Integrated a Large Language Model (LLM) to generate intelligent financial reports, boosting decision-making efficiency by 40% and providing tailored insights that enhanced user satisfaction by 35%. •Optimized frontend performance by implementing MobX for advanced state management, reducing re-rendering times and improving responsiveness, contributing to a 20% increase in user retention. •Engineered real-time financial dashboards using React and WebSockets, enabling live updates of financial data and transaction statuses, which improved data visibility and user experience. •Utilized React Hooks and lazy loading to optimize component rendering, cutting initial load times by 50% and improving overall platform performance. •Collaborated with backend teams to integrate PostgreSQL and Node.js APIs, streamlining data retrieval and enhancing query performance by 35%.

Diagnosed and resolved server errors affecting website availability using tools like Apache/Nginx and monitoring services (e.g., New Relic, Datadog), ensuring consistent uptime and optimal performance. •Maintained and updated the Biosettia website by integrating new content and refining the HTML structure, utilizing modern web technologies such as HTML5, CSS3, and JavaScript, and improving user experience with responsive design frameworks like Bootstrap. •Contributed to backend improvements with Node and MySQL, optimizing server-side performance and database queries to enhance website load times and reduce server errors. •Worked with Git for version control to ensure smooth collaboration and continuous integration of updates to the website.