• Developed and deployed over 20 microservices for an internal trade surveillance platform at Morgan Stanley using Java, Spring Boot, and AWS Lambda, enabling scalable processing of millions of trade events daily to meet regulatory compliance.

• Integrated Machine Learning model predictions into microservices to detect potential insider trading and market manipulation in real time, supporting compliance analysts with actionable alerts.

• Collaborated with the quant/data science team to automate model retraining pipelines using AWS Lambda, ensuring timely updates to anomaly detection models based on evolving trade patterns.

• Designed and built a real-time monitoring dashboard using React.js and AWS CloudWatch to visualize system health, processing lags, and flagged trade anomalies, reducing response time during critical market hours.

• Led the UI migration of the internal compliance portal from React to Angular 14, improving performance and user workflows for risk officers and compliance teams handling trade reviews

Engineered and deployed 20+ scalable microservices leveraging Java, Spring Boot, and AWS Lambda to process millions of daily trade events, ensuring high system throughput while maintaining compliance with global financial regulations. Integrated predictive machine learning models into production microservices, enabling real-time surveillance for insider trading and market manipulation and equipping compliance analysts with actionable insights. Automated the end-to-end retraining process of anomaly detection models using AWS Lambda, allowing timely adaptation to evolving trade patterns without manual intervention. Architected a comprehensive real-time monitoring dashboard using React.js and AWS CloudWatch, significantly reducing incident response times during critical market hours by providing immediate visibility into system health. Conducted structured peer code reviews across multiple microservices, identifying performance bottlenecks, ensuring compliance with firmwide coding standards, and proactively reducing defect rates before production release, which enhanced maintainability and consistency across teams. Directed the migration of compliance portal UI from React to Angular 14, enhancing overall user workflow efficiency and improving page load times for compliance officers handling sensitive trade reviews. Strengthened system reliability by optimizing asynchronous communication patterns and introducing advanced caching mechanisms, reducing average response time by 25% across high load microservices. Delivered hands-on contributions to mission-critical backend modules in Java and Spring Boot, including developing core APIs, implementing asynchronous processing logic, and refactoring legacy codebases, thereby reinforcing overall system reliability. Coordinated cross-team efforts with data engineers and compliance officers to implement fault-tolerant, event-driven pipelines that supported mission-critical business operations.

• Developed and maintained a customer dashboard using React.js and GraphQL, ensuring smooth real-time updates and a responsive user experience for a large user base.

• Built and optimized RESTful APIs to support complex customer interactions, contributing to improved reliability and faster server responses.

• Integrated PostgreSQL and MongoDB databases for dynamic and scalable data handling, streamlining performance across user transactions.

• Designed and implemented an end-to-end CI/CD pipeline using GitLab CI for automated deployments to Microsoft Azure, improving release consistency and reducing manual intervention.

• Developed and optimized data pipelines using PostgreSQL, enabling efficient storage and retrieval for high-volume applications with improved query performance.

• Built and deployed RESTful APIs using Java and Spring Boot, contributing to faster and more reliable backend processing.

• Contributed to the design and implementation of a microservices-based architecture using Docker and PostgreSQL, supporting high system availability and scalability for concurrent user loads.