Projects

Projects

JPMorgan Chase

  • Design and implement Yodlee integration for Connection microservice (Spring, Cloud Foundry, Oracle Cloud, Java).
  • Design and implement Webhook Poll microservice (Spring, Cloud Foundry, Oracle Cloud, Java).
  • Design and implement orchestration logic for Heldaway Data Parser microservice (KAFKA, Spring, Cloud Foundry, Oracle Cloud, Java).
  • Design and implement connection ingestion logic for manual account handler microservice (Photon, Cloud Foundry, Oracle Cloud, Java).
  • Design and implement Yodlee API call simulator to measure the performance of different microservices (AWS Lambda, AWS Aurora, Spring, Java).
  • Design and implement connection delete logic for manual account handler microservice (Photon, Cloud Foundry, Oracle Cloud, Java).
  • Design and implement searching securities in securities microservice (Photon, Cloud Foundry, Oracle Cloud, Java, Lucene).
  • Design and implement transactional ingest of financial institutions, connections, accounts, and holdings in manual account handler microservice (Photon, Cloud Foundry, Oracle Cloud, Java, KAFKA).

Turbonomic

  • Design and implement the VMAX3, VPLEX, and Pure probes. This work is in production on both XL and legacy platforms.
  • Invent a new weighted average method to calculate the latency of the pools instead of maximum or simple average. This work is in production on the legacy platform.
  • Design and implement the feature to show stitching information for the stitched Storage entities (Storage – Mapper - Hypervisor). This work is in production on the legacy platform.
  • Design and implement Resize V3. This work is in production on the XL platform.
  • Design and implement the changes to enable the AWS probe to obtain platform-related information from the bill. This work is in production on the legacy platform.
  • Design and implement the changes to enable the market to recognize AWS encrypted volumes. This work is in production on the legacy platform.
  • Design and implement the optimized cloud plan for the customers (simulation environment). This work is in production on the XL platform.
  • Design and implement percentile logic for DTU based Azure databases. This work is in production on the XL platform.

GE Capital

  • Contribute to the migration of CARMA (the existing model risk management system) to Oracle OFSAA (both data and logic).
  • Design and implement enhancements for model risk management system (J2EE, Struts, Spring, Java, Teradata).
  • Design and implement a proof of concept for model risk management on GE’s Predix (Predix, Cloud Foundry, Java, PostgreSQL).
  • Implement big data analysis tasks to gain insight from the financial data of GE Capital (MathLab, SAS, Hadoop, R).