Muhammad Umair Aslam

- Developed Spatial.io, a virtual metaverse using React, Python, Django, and AWS, integrating AI features like TensorFlow-based predictive analytics and NLP for personalized user experiences. - Built scalable APIs and microservices with FastAPI, Flask, and Node.js, using AWS Lambda for serverless functions and optimized data flow via WebSocket and socket.io. - Developed a dynamic e-commerce platform using React.js, Next.js, and Node.js, focusing on server-side rendering (SSR) and scalable front-end components to improve performance and SEO. - Integrated AI-powered recommendation systems and machine learning models with TensorFlow and PyTorch, driving personalized user interactions and improving engagement by 30%. - Implemented server-side rendering with Next.js and integrated GraphQL for optimized data queries and faster page loads. - Integrated OpenAI APIs to enhance user interactions by implementing AI-powered features such as chatbots and content recommendations, delivering more personalized and engaging experiences. - Managed backend on AWS, deploying services using ECS, Lambda, and DynamoDB to ensure scalability and efficient container orchestration. - Set up CI/CD pipelines using Docker, Kubernetes (EKS) for rapid deployment and continuous integration. - Integrated payment systems like Stripe and PayPal, using fraud detection AI models for secure transactions and documenting APIs with Swagger. - Streamlined CRM functions with HubSpot and implemented AI-driven lead scoring for efficient sales management. - Used Jest and Enzyme for automated testing, ensuring robust code quality with unit, integration, and E2E tests. - Implemented real-time features with Socket.io for live updates and chatbot integration.

- Architected and developed interactive user interfaces with React.js and Next.js, ensuring responsive design and a seamless user experience across platforms, while leading the design and implementation of backend services using Node.js and NestJS for efficient API integration and optimized server-side logic. - Led the development of real-time collaboration features using React.js and Python-based APIs, enhancing interactivity and user engagement through scalable backend services hosted on AWS Lambda. - Built high-performance APIs with FastAPI and Node.js (NestJS), implementing RESTful and GraphQL endpoints to optimize data exchange and platform performance while ensuring low-latency communication. - Implemented machine learning models with TensorFlow and AWS SageMaker, automating content personalization based on real-time data analysis, resulting in improved user experience and higher engagement metrics. - Designed and implemented scalable architectures, utilizing PostgreSQL for relational data management and Firebase for authentication and real-time data syncing, optimizing data storage and interactions for better system performance. - Developed real-time communication features using WebRTC and WebSocket, ensuring low-latency interactions for collaborative virtual environments and enhancing user experience in real-time applications. - Deployed containerized applications using ECS and managed Kubernetes orchestration with EKS, ensuring scalability and efficient deployment across microservices. - Led cross-functional teams, conducted code reviews, and ensured automated testing for quality assurance, maintaining high code standards and consistent functionality across platforms.