Implemented modern design principles to create an intuitive and visually appealing interface for the website, resulting in a 30% decrease in bounce rate and an increase of average time spent on site by 25%.Developed and deployed an advanced VIRA chatbot using state-of-the-art LLM models in Python, resulting in a 17% reduction in customer service response time.Developed and implemented a computer vision tool to accurately detect zoning parcels, resulting in a 90% increase in efficiency compared to previous manual methods.Collaborated with cross-functional teams to integrate the computer vision tool with AutoCAD, streamlining the process of calculating GPS coordinates and seamlessly passing them into the software.Successfully deployed CAD application on a secure virtual machine, ensuring data privacy and reducing operational costs by 35% compared to traditional server hosting.

Collaborated with the Business Development Team to assess project requirements, resulting in a significant improvement of existing ALIP Insurance Policy submission using Java.Engineered the frontend solution using React, Material-UI, and GraphQL technologies, enhancing user experience.Spearheaded AWS-based Single Sign-on LDAP integration, optimizing website architecture to reduce page load time and decrease bounce rate.Implemented over 200 Rest APIs using code-based models through Spring framework services, ensuring seamless integration with ALIP's internal interfaces and data compliance.Leveraged continuous integration techniques (Jenkins pipelines and Visual Studio Builds) to streamline API deployment.Played a key role in developing a microservice and event-driven architecture, employing bidirectional communication protocols with Kafka, enhancing scalability by 20%, optimized data flow, and ensured timely updates.

Crafted REST APIs using Spring Boot and incorporated Tailwind CSS and JavaScript to create a user-friendly and modern UI.Utilized Docker and Kubernetes for container deployment and orchestration, ensuring the efficient operation of the system.Coordinated cross-functional teams, including designers, integration engineers, and business configuration teams, to create a user-friendly environment for insurance-related data submission, verification, and security.Successfully deployed the product on Microsoft Azure cloud, maintaining high customer satisfaction for two years.Established Dynatrace dashboards and Splunk application monitors for proactive performance monitoring and issue resolution.Configured Apache Tomcat with MySQL, utilizing Spring Data JPA with caching for enhanced data management, leading to optimized performance and decreased latency in customer data retrieval.

Managed and actively participated in the development of various models of the Moneycontrol website.Played a crucial role in addressing a significant requirement by implementing cookie functionality on the website.Designed and developed a dynamic website that offers distinct views for users who consent to storing cookies and those who opt out, ensuring compliance with privacy regulations.Collaborated closely with the team to create Django template views, gaining valuable hands-on experience in web development and Django framework.Demonstrated adaptability and a commitment to learning while contributing to the success of the Moneycontrol website project.

Contributed to the enhancement of the Feedback System software by addressing security vulnerabilities and preventing multiple feedback submissions by the same user.Implemented a robust security mechanism by providing users with session key tokens matched to their organization ID and date of birth, ensuring data integrity and user authentication.Collaborated with a cross-functional team to analyze, design, and implement security improvements, resulting in a more secure and reliable Feedback System.Developed a crop yield prediction software for Somaiya Sugar Industries, leveraging technologies like ArcGIS and data gathering techniques.Successfully acquired and integrated data from various sources to create accurate crop yield predictions, supporting the agricultural operations of the organization.