➔ Led the integration of advanced AI-driven recommendation systems into the Students Landing platform, enhancing personalized content delivery for users based on their interactions and preferences.➔ Developed a microservice architecture using Spring Boot to support the scalable deployment of AI models, ensuring robust performance and easy scalability.➔ Implemented a project focusing on AI-Powered Career Guidance:• Project Name: "Pathfinder"• Description: Developed an AI-driven career guidance tool that analyzes a user's academic background, interests, and industry trends to provide personalized career advice and recommended learning paths. The project utilized machine learning models hosted on AWS, with real-time data processing to offer up-to-date career insights.• Impact: Significantly improved user engagement and satisfaction, with over 80% of users reporting increased confidence in their career decisions.

Working as a software engineer to help and develop application that could be used for education purposes.

It was an amazing journey where I got to learn a new language without even my seniors knowing about it in the beginning. I have got my hands dirty with 3 different databases along with front end and back end development.Also amid all this, I was able to successfully develop an application from scratch to help the clients break pdf's into smaller ones with reference to metadata.

I was working as Junior Java Developer with also experience of live projects. JavaScript was also a part of my learning along with Bootstrap and CSS.