Client Data Engineering

• Supported both the back end and CI/CD processes of the Optical Character Recognition product for internal and external stakeholders• Updated base Docker images of applications and services to the organization’s approved Docker images for improved security, conformity, and reduction of memory storage• Managed environment set up in Cloud Foundry using Terraform and created new regression testing Jenkins pipeline used in the weekly release which eliminated long downtime faced in previous Continuous Delivery platform• Improved API endpoint by parallelizing input and output operations reducing the overall response time of service

• Designed front-end of micro service in Angular (Web) and Flutter (Multi-Platform Mobile) that simplified management and reporting of defects by customers• Maintained and created Django and Flask API endpoints for defect management applications to communicate with MongoDB database containing defect details and images• Automated creation of tasks on Zabbix using Python Scripts to monitor the availability and health of GPU server and reduce the downtime of GPU servers