case study

SigmaSight provides AI-driven tools to help insurance defense teams negotiate litigated claims more effectively. Their Analyzer aggregates data from verdicts, court records, and state bar information to offer insights into venues and plaintiff attorneys, enabling defense teams to make informed decisions. The Negotiator uses advanced AI to visualize and quantify the financial aspects of cases, assisting in identifying bargaining zones, walk-away figures, and negotiation milestones to improve settlement outcomes and reduce cycle times. Additionally, the Synthesizer employs generative AI to quickly assemble offer packages, extract key negotiating points from unstructured data, and present offers more persuasively, thereby accelerating case resolutions. By integrating these tools, insurance defense teams can leverage data-driven insights to optimize settlement strategies and enhance overall litigation management.

To address these challenges, the application was architected using a microservices approach to enhance scalability and traffic management. The frontend was developed using React, providing a responsive and customizable interface. The backend was powered by Node.js and Express, ensuring efficient handling of API requests. Apache Airflow was utilized for task management, orchestrating complex workflows and data pipelines. AWS RDS served as the relational database, offering a scalable and managed database solution. AWS Lambda functions were employed to handle serverless compute tasks, enabling efficient execution of backend processes. The Serverless Framework was integrated to streamline the deployment and management of AWS Lambda functions, simplifying infrastructure as code and enhancing deployment efficiency. For user authentication, AWS Cognito was integrated to provide secure and scalable user management. The application was designed with multi-tenancy in mind, ensuring that each tenant’s data and resources are securely isolated, thereby meeting SOC compliance standards. This architecture ensured a robust, scalable, and efficient system capable of handling complex workflows and large-scale data processing while adhering to stringent security and compliance requirements.

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In this project, I served as a full-stack developer, responsible for both frontend and backend development. I utilized React to build a responsive and dynamic user interface, ensuring a seamless user experience. On the backend, I developed serverless APIs using Node.js and AWS Lambda, orchestrated through the Serverless Framework, to handle various application functionalities efficiently. I integrated AWS services such as RDS for relational database management and S3 for scalable storage solutions, ensuring data persistence and accessibility. A key aspect of the application was its multi-tenant architecture, which I implemented to securely manage and isolate data for multiple clients within a single system. This design allowed for efficient resource utilization while maintaining strict data separation and security standards. Throughout the development process, I adhered to SOC compliance requirements, ensuring that the application met stringent security and operational standards. This comprehensive approach enabled the delivery of a robust, scalable, and secure application tailored to the needs of multiple clients.