Varshitha K

About Varshitha K

Software Engineer with 4+ years of experience in building scalable backend and AI-powered…

Experience

1. Software Engineer

   Morgan Stanley

   Aug 2024 — Present · US

   Design, develop, and support enterprise-grade backend systems using Java, Spring Boot, and Microservices architecture for high availability trading, risk management, and capital markets platforms. Build and integrate AI/ML-driven solutions into front-office and middle-office systems to enhance trade surveillance, fraud detection, risk analytics, and predictive modeling. Develop and maintain RESTful APIs and event-driven microservices for real-time market data ingestion, trade processing, and analytics workflows within investment banking systems. Engineer low-latency, high-throughput applications compliant with SEC and FINRA regulatory standards, ensuring secure handling of financial transactions and client data. Collaborate with Quantitative Analysts, Data Scientists, Risk Managers, and Business Stakeholders to convert financial models and regulatory requirements into scalable AI-enabled technical solutions. Optimize application performance using multithreading, concurrency frameworks, JVM tuning, and efficient data structures to support high-volume transaction processing. Integrate Python-based Machine Learning models (NLP, predictive analytics, risk scoring) into Java ecosystems via REST endpoints and containerized deployment strategies. Process and analyze structured and unstructured financial datasets including trade logs, market feeds, and client transaction data for risk modeling and anomaly detection. Implement and maintain CI/CD pipelines using Jenkins and GitHub Actions; manage cloud-native deployments on AWS/Azure, leveraging Docker and Kubernetes for scalability. Develop and enforce secure authentication and authorization mechanisms using OAuth2, JWT, and enterprise security frameworks to ensure data protection and regulatory compliance. Create comprehensive unit, integration, and performance test cases using JUnit and Mockito, achieving high code coverage and production reliability.