• Drove design and implementation of Messaging Statistics product at Infor Nexus to provide end to end visibility of aggregated statistics on business documents and messages exchanged by partners on the Infor Nexus supply chain platform.

• Architected, designed and implemented JIRA-like dashboards that support several types of custom widgets, charts, layouts, sharing, management, that provide multidimensional view of customer integration and message exchange statistics at different levels of granularity.

• Contributed to multiple modules of a task worker architecture that dynamically partitions tasks in the messaging pipeline and allocates them to workers based on increase/decrease in volume of inbound/outbound messages.

• Improved load handling and processing time for high-volume business documents by addressing infrastructure capacity concerns.

• Analyzed integration tier technology requirements to support quick searches of messages and business documents exchanged on Infor Nexus supply chain platform.

• Architected, designed and drove implementation for multiple applications within the Advisor

Wealth Desk platform at Morgan Stanley. Some of the key applications were Account

Opening/Enrollment System, Advisory Billing System and Branch manager Approval System.

Technologies used were Angular 5, Spring microservices and Apache Solr.

• Lead distributed development for automated account enrollment feature for Digital Investment

Platform at Morgan Stanley. This enabled automated enrollment of client accounts based on their

goals. Technologies used were Spring Batch, shell scripting and autosys scheduling.

• Designed and Implemented a research tool used by Morgan Stanley investment and portfolio

strategy team to run Monte carlo simulations for financial modeling.

Teaching Assistant for courses:

Database design and Web Implementation

Introduction to Programming - Python

• Developed Java based monitors in the integration tier to help assess the hourly load, message volume by category and processing latency for the inbound message flow.

• Enhanced a proprietary analytic and reporting framework to capture message transformation statistics using Java and SQL.

• Used Splunk for real-time data analytics to assess performance at various stages in the messaging bus.

• Worked on Python scripts to generate messaging server utilization statistics using Zabbix API.