Nimesh Patel Email and Phone Number

• Working on a horizontal software platform which provides a single interface for calculating market risk using Front office FICC and Equity risk systems. This platform is used by Prime Brokerage risk managers to compute margin requirements for clients• Led the technical integrations of Commodity and Credit risk models into the application and implement the API endpoints for the Risk managers• Led the implementation of major metrics generation initiative, increasing automation and driving metrics based decisions in particular to allow for micro services performance enhancement and tuning• Leading the team`s daily scrum calls as well as interfacing with cross functional teams to discuss requirements and adoption of features• Involved in technical architecture design sessions for improving the API standards as well as making the platform more scalable by moving to a streaming microservices architecture• Tech Stack: Python, ELK (Logs, System, Error monitoring), 60East AMPS

• Working in bank`s Equities Parameters team responsible for storage and data access of market data parameters such as volatilities, dividends and others.• My role currently is of a main code contributor to the storage and data access application. This is a Java-based global application involving an Oracle database, an in-memory Oracle Coherence cache layer and cross-platform API for clients to access the data in a bi-temporal way.• Since traders across the regions read/write to this application, working towards our goal to maintain this as a low-latent, highly concurrent, real-time replicated and cross-platform friendly application.• One of the major achievements this year for me was to bring down the time taken for bulk loading of data into Coherence cache from the database. We did reduce the time to load around 2 million records into the cache by 40%.This involved making the preloading process highly concurrent.• Experience coding features involving multi-threading approach, Tibco EMS messaging and Zeroc Ice remote communication protocol.• Experienced in following the Agile Scrum methodology.• Experienced in using 3rd party Java collections library, notably Google`s Guava.• Working with application manager to draw out short-term road maps for the application, managing releases and being the contact for the application support teams.

• Working in the bank`s Equity Linked Technology team responsible for developing core risk management platform called AppServer.• Writing code in C++ for enhancing the existing application according requirements from front office traders. Involved in maintaining the legacy application and doing bi-weekly release of the new features and improvements into production.• Designed and Implemented the Kerberos authentication module in the legacy Risk application. Was also involved in communicating with partner applications relying on data coming from AppServer to get in line with authentication requirements.• Designed and implemented a tool for tracking usage of AppServer using Big Data Analytic technologies including Hadoop, Hive and Pig. The tool was written in Python.• Currently working with Parameters Team responsible developing the application for publishing financial parameters like Volatility, Dividends, and Log normal.• Developing new features and improving the existing ones with client side code written in C#. The framework is based on MVVM development model with the Controller written in Java and the Engine in Python.

The workflow analysis tool is a generic Java based tool which was used to implement the work flow required for an approval system. In specific terms, the tool contained a graphical user interface upon which the elements of the particular work flow could be placed to create a process. After the process is configured, the tool generated necessary XML files and commented Java code for implementing the process on the Model-View-Controller (MVC) architecture such as Struts.