CV: Full-stack Engineer

- Extensive experience in an AI company working on cutting-edge technologies
- Worked on projects spanning IoT, e-commerce, and portals
- Proficient in ReactJS and NextJS for building interactive and responsive user interfaces
- Utilized GraphQL to optimize data transfer between client and server
- Developed scalable and performant server-side applications using Node.js
- Extensive experience with AWS for deploying, managing, and scaling applications
- Proficient in databases such as MySQL and MongoDB
- Experienced in version control systems like Git
- Familiarity with CI/CD pipelines for automating software release processes
- Consistently delivered innovative solutions aligned with industry best practices
- Strong problem-solving and communication skills
- Passionate about staying updated with the latest trends in AI and technology.
- Extensive experience in an AI company working on cutting-edge technologies
- Worked on projects spanning IoT, e-commerce, and portals
- Proficient in ReactJS and NextJS for building interactive and responsive user interfaces
- Utilized GraphQL to optimize data transfer between client and server
- Developed scalable and performant server-side applications using Node.js
- Extensive experience with AWS for deploying, managing, and scaling applications
- Proficient in databases such as MySQL and MongoDB
- Experienced in version control systems like Git
- Familiarity with CI/CD pipelines for automating software release processes
- Consistently delivered innovative solutions aligned with industry best practices
- Strong problem-solving and communication skills
- Passionate about staying updated with the latest trends in AI and technology.

- Developed a visualizer using three.js for the Velodyne project
- Integrated Velodyne LiDAR sensor data into the visualizer
- Leveraged LiDAR technology to capture and analyze the environment in 3D
- Rendered point clouds to represent the LiDAR data in the visualizer
- Implemented user authentication using AWS Cognito
- Transformed raw LiDAR data into detailed 3D representations
- Enabled users to navigate and explore the scanned environment in the visualizer
- Provided insights into the spatial distribution of objects and distances
- Created an immersive and interactive visual experience using three.js
- Explored potential applications of the visualizer in autonomous vehicles, robotics, and environmental monitoring
- Utilized expertise in IoT, three.js, and LiDAR technology for a robust visualizer implementation.Developed a visualizer using three.js for the Velodyne project
- Integrated Velodyne LiDAR sensor data into the visualizer
- Leveraged LiDAR technology to capture and analyze the environment in 3D
- Rendered point clouds to represent the LiDAR data in the visualizer
- Implemented user authentication using AWS Cognito
- Transformed raw LiDAR data into detailed 3D representations
- Enabled users to navigate and explore the scanned environment in the visualizer
- Provided insights into the spatial distribution of objects and distances
- Created an immersive and interactive visual experience using three.js
- Explored potential applications of the visualizer in autonomous vehicles, robotics, and environmental monitoring
- Utilized expertise in IoT, three.js, and LiDAR technology for a robust visualizer implementation.

- Developed a booking system using Next.js, Node.js, and MongoDB
- Utilized Next.js for server-side rendering and fast initial page load
- Leveraged Node.js for building scalable and performant server-side logic
- Implemented MongoDB as a flexible and scalable NoSQL database for storing booking-related data
- Created a seamless user interface with interactive features using Next.js
- Leveraged Node.js's asynchronous nature for efficient handling of concurrent requests
- Built robust APIs for seamless communication between frontend and backend components
- Utilized MongoDB's flexible schema design for easy storage and retrieval of complex data structures
- Leveraged MongoDB's scalability and performance capabilities for handling large volumes of booking data
- Combined Next.js, Node.js, and MongoDB to create a high-performing, scalable, and responsive booking system.
- Implemented user authentication, product reviews, and personalized recommendations