I managed a REST API project for the National Library to facilitate seamless access to their vast collection of resources. The API allows users to search for digital objects enhancing the overall user experience and efficiency.
My contribution focused on designing and configuring the AWS infrastructure, including DynamoDB, Lambda functions, and S3 storage. Additionally, I established automated deployment pipelines and monitoring.
I spearheaded a face tracking project for a makeup app, enabling real-time detection and analysis of facial features. By accurately tracking key points on the user's face, the app seamlessly applies virtual makeup.
I led a project to develop robot localization using mobile phones for precise positioning. By integrating mobile phone with localization algorithms, we achieved accurate tracking of the robot's position in various environments.
I directed a project focused on pioneering visually similar e-commerce recommendations, harnessing advanced AI models to match products based on visual features. We provided users with tailored recommendations.
My role in the AWS architecture project for e-commerce was to design a scalable system using AWS services like EC2, RDS, S3, and SageMaker while ensuring security with IAM and WAF to protect data and prevent breaches.
In our pioneering e-commerce project, we implemented a cutting-edge system employing computer vision to pair products based on visual similarities and complementary attributes.
Our project focused on implementing structure from motion techniques, enabling the reconstruction of 3D structures from 2D image sequences. By leveraging computer vision algorithms, we accurately inferred the scenes.
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