Securiti.ai is the pioneer of the Data Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls, and orchestration across hybrid multi-cloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance.Securiti has been recognized with numerous industry and analyst awards, including "Most Innovative Startup" by RSA, "Top 25 Machine Learning Startups" by Forbes, "Most Innovative AI Companies" by CB Insights, "Cool Vendor in Data Security" by Gartner, and "Privacy Management Wave Leader" by Forrester.

Frontend Development: - Proficiently utilized ReactJS and Redux as a store to create dynamic and responsive user interfaces, ensuring an optimal user experience. - Employed local storage for efficient client-side data persistence. - Implemented web optimization strategies through caching components using useMemo and useCallback, resulting in enhanced performance and smoother user interaction.Backend Development: - Built the backend infrastructure using NodeJS and MongoDB as a database, contributing to the development of a microservices architecture. - Leveraged NATS as our message broker for seamless and efficient inter-service communication, facilitating smooth interaction between different components of the system.Serverless Computing: - Applied my skills in writing Lambda functions on AWS Lambda, focusing on enhancing system efficiency and enabling serverless computing capabilities. - Notably, I successfully deployed a serverless function responsible for taking in a payload, dynamically generating PDFs, and securely storing them on Amazon S3. The function asynchronously returns the signed URL using PusherJS, ensuring efficient document management within the system.Containerization and Orchestration: - Proficiently deployed services using Docker for containerization and Kubernetes for orchestration, optimizing scalability and ensuring efficient resource management.Event Tracking and Collaboration: - Employed Segment for event tracking, collaborating with the product and data team to analyze feature traction and user engagement. This collaboration guided future changes and enhancements to continually improve the product.