Shanthi Swaroopa Hari Podhili Email & Phone Number

Texas, United States

Working on the development of a PMS at Goldman Sachs, employing Angular for the frontend and Spring Boot for the backend, ensuring a comprehensive solution for portfolio visualization and management. Implementing PostgreSQL for transactional data storage and Elasticsearch for efficient search functionalities, ensuring fast and reliable access to portfolio data, enhancing system scalability and performance. Employing authentication and authorization mechanisms to ensure data security and privacy, protecting sensitive financial information, and complying with regulatory requirements. Applying robust security measures, including JWT-based authentication, OAuth 2.0, and input validation, ensuring compliance with financial industry regulations. Executing API Gateway to route requests to the appropriate microservices, providing a unified entry point for clients and ensuring loose coupling between frontend and backend components.Front-End Technologies: HTML5, CSS3, Bootstrap, UI Material, SASS, JavaScript, Typescript, ES6, React JS, Redux, React Hooks, Angular, Vue.jsBack-End Technologies: Python, Java, C++, Spring Boot, Spring MVC, REST API, RESTful API, Microservices, Hibernate, Flutter, Flask, Django, TensorFlow, Pandas, Scikit-learnIDEs Visual Studio Code, IntelliJ IDEA, Eclipse, Maven, Gradle, NetBeansWeb Services RESTful, SOAPDatabases SQL, MongoDB (NoSQL), PostgreSQL, MySQL, Oracle, FirebaseCI/CD & Tools Jenkins, Code ShipTesting tools JUnit, Mockito, React Testing Library, JestCloud & Deployment AWS, GCP, DockerWeb Server Apache Tomcat, WebLogic 7.0/8.1/9.0/10.0, IBM WebSphere 4.0/5.5, JettyOther Agile, Jira, SVN, Git, Scrum, GitHub, Kubernetes, Bitbucket, Swagger Open API, SonarQube, POSTman, WordpressOperating System Windows, UNIX, LINUX, Mac OS

India

Refactored and optimized existing algorithmic trading code using Flask, enhancing performance and maintainability. Extensively utilized AI models in the codebase, working on fine-tuning models to improve algorithmic trading strategies. Developed Python scripts to automate the backup of large datasets generated by trading algorithms, ensuring data integrity and availability. Utilized React's component-based structure to create reusable UI components, allowing for efficient composition and customization of user interface elements across different parts of the trading platform. Built RESTful APIs using Django REST Framework (DRF) to expose algorithmic trading functionalities to frontend clients, ensuring a scalable and maintainable architecture for the trading platform. Implemented automated solutions for data storage on MongoDB and physical hard drives to streamline data management processes. Conducted thorough testing of refactored algorithms to ensure accuracy and reliability in trading operations. Engaged in code reviews and quality assurance processes to maintain high coding standards.

Master Of Science - Ms, Computer Science

Bachelor Of Engineering - Be, Information Science/Studies