• Software Developer in SAP Multi-Cloud(AWS, Azure, GCP, Alicloud) team------------------------------Chargeback and ShowBack------------------------------------------• Developed the application on account creation for each cloud (AWS, AZURE, GCP) by using Django framework for server and Flask framework for client side and leverage cloud services to accomplish 24/7 service on the accounts’ creation without interruption.• Developing an internal application to allow Line of Business to automatically retrieve the cost optimization for their cloud environment and remove the ticket-based process on analyzing and purchasing reservations by using SAP Cloud Foundry for deployment, and HANA as database, and Java with Spring framework for server.• Containerized an application with Docker and utilized Kubernates orchestrator to maintain auto-scaling, health-check, and deployment process for an application.• Accomplished an end-to-end development on a software process from high-level design, security concepts, database schema, coding, auto-testing, continues-integration (CI) and continues-deployment (CD).• Designed and implemented the flow of access control for SAP as a whole for an individual user to the internal tool by hosting instance in GCP for Jenkin server and integrating SaaS solutions with SAP environment in Python.------------------------------Back-Up as Self-Service -------------------------------------------• Corroborated with SaaS(Actifio) to assist SAP's line of business to minimize the possibility of any risky to the production data.

• Automated the process of deploying Amazon Web Service and Aviatrix’s features by using Terraform (Infrastructure as Code) and helped Aviatrix deploy features more efficiently by removing manual controls and human errors.• Created CRUD (Create, Read, Update, and Delete) functions by calling the REST API of Aviatrix’s product in GO language to implement the automation of Aviatrix’s features through Terraform.• Wrote a script to reduce run-time and increase efficiency of installing the requirements for Terraform on Amazon Web Service and Aviatrix.• Detected various bugs with the automatic within Aviatrix’s product through multiple QA sessions.