Muhammad U.

Developed Spatial.io, a virtual metaverse utilizing React, Python, Django, and AWS, incorporating AI features like TensorFlow-based predictive analytics and NLP for personalized user interactions. Constructed scalable APIs and microservices using FastAPI, Flask, and Node.js, leveraging AWS Lambda for serverless functions and optimizing data flow with WebSocket and socket.io. Created a dynamic e-commerce platform with React.js, Next.js, and Node.js, emphasizing server-side rendering and scalable front-end components for enhanced performance and SEO. Integrated AI-powered recommendation systems and machine learning models with TensorFlow and PyTorch, resulting in improved user engagement. Implemented server-side rendering using Next.js and integrated GraphQL for efficient data queries. Incorporated OpenAI APIs to enhance user interactions with AI-driven features such as chatbots and content recommendations, enriching the user experience. Managed backend services on AWS, deploying resources with ECS, Lambda, and DynamoDB to ensure performance and scalability. Established CI/CD pipelines utilizing Docker and Kubernetes (EKS) for streamlined deployment and continuous integration. Integrated payment systems like Stripe and PayPal, applying fraud detection AI models for secure transactions and documenting APIs with Swagger. Improved CRM functionalities with HubSpot and employed AI-driven lead scoring for effective sales management. Conducted automated testing with Jest and Enzyme to maintain code quality through unit, integration, and E2E tests. Enabled real-time features with Socket.io for live updates and chatbot integrations.

Architected and constructed interactive user interfaces using React.js and Next.js, ensuring responsive design and a smooth user experience across different platforms. Led backend service design and implementation with Node.js and NestJS for effective API integration and optimized server-side functions. Developed real-time collaboration features using React.js alongside Python-based APIs to enhance interactivity. Built high-performance APIs with FastAPI and Node.js (NestJS), creating RESTful and GraphQL endpoints for efficient data exchange. Integrated machine learning models through TensorFlow and AWS SageMaker for automated content personalization, enhancing user experience. Designed scalable architectures with PostgreSQL for relational data management and Firebase for real-time data synchronization. Enabled real-time communication features utilizing WebRTC and WebSocket for low-latency interactions in collaborative environments. Deployed applications in containers using ECS and managed orchestration via Kubernetes with EKS. Collaborated with cross-functional teams, conducted code reviews, and ensured high code quality through automated testing.

Developed user interfaces with React.js, focusing on responsive design to optimize performance across web and mobile platforms. Built backend services using Node.js, concentrating on server-side logic and API integration for improved scalability and security. Led agile development processes, managing sprints, facilitating daily stand-ups, and driving cross-functional team collaboration for timely feature rollouts. Conducted code reviews and upheld high code quality standards by integrating automated testing into CI/CD workflows. Created scalable RESTful APIs with Node.js for seamless integration with social media platforms, enhancing real-time data exchange and social login features. Designed and optimized both relational databases with PostgreSQL and non-relational databases with MongoDB, implementing advanced indexing and query handling for efficient data retrieval. Managed AWS cloud infrastructure for backend services, utilizing EC2, Lambda, and RDS for optimized data management and employing DynamoDB for rapid operations. Leveraged ECS and Kubernetes (EKS) for containerized microservices to ensure scalability. Implemented WebSocket and Socket.io for real-time communication features, enhancing interactivity with applications such as messaging and notifications. Integrated payment gateways such as Stripe and PayPal, employing fraud detection AI models to secure transactions and enhance user experiences.