Tech enthusiast and passionate programmer with a strong interest in AI and machine learning. Currently pursuing an M.S. in Data Science at Northeastern University, I aim to build impactful AI-driven products that solve real-world problems. With experience in cloud DevOps, scalable systems, and data pipelines, I’m driven to bridge the gap between technology and everyday life. Let’s connect to innovate and make a difference!
2021 – 2023
Developed and deployed AI-powered chatbots to streamline cloud resource management by providing intelligent recommendations and automating resource provisioning across platforms such as AWS and Azure. These solutions enabled users to efficiently select and configure cloud resources, reducing manual effort, enhancing operational efficiency, and delivering a seamless user experience.
Python ServiceNow AWS GraphQL Docker Terraform Jenkins
A novel method for the simultaneous estimation and localization of impact damage in composite sandwich plates using branched neural network. The dataset consists of 25 specimens, with low-velocity impact damage varying in impact energy and impact location.
This study explores the intricate relationship between lifestyle choices, mental health, and academic performance among international students. By analyzing synthetic data based on real-world challenges faced by this demographic, we identify factors influencing both mental well-being and academic success.
This project is a multi-modal Visual Question Answering (VQA) system that interprets images and answers questions about them. By leveraging computer vision and natural language processing techniques, the model combines visual and textual understanding to provide meaningful responses.
