Ankit Kumar

• Utilize Python and Flask to build robust, modular, and maintainable components for ZS's In-House Data Processing Platform ZAIDYN.
• Working with Managed Workflows for Apache Airflow (MWAA) to orchestrate and manage data workflows.
• Collaborating with DevOps and infrastructure teams to ensure seamless deployment and monitoring of platform components.

• Responsible for developing, maintaining, and scaling vision-based AI solutions using OpenCV and Deep Learning and deploying them using Python and Flask framework.
• Improved Operational efficiency of Smart Gate OpenCV solutions from 84% to 92%.
• Removed the batch processing of images with a much-improved Tesseract detector to reduce latency by 45% in the product.

• Responsible for writing customized, responsive, and scalable backend modules using Django REST API for client-facing applications.
• Built the CI/CD pipeline for the entire build process of the Mobile application (both for Android as well as iOS platforms) using GitHub Actions and Fastlane.
• Contributed to the Unit/Functional testing activities as well as stress-testing.

- Involved in the maintenance of highly available audit applications using Hadoop Framework and performing real-time data extraction, moving data between clusters, and transforming the input data using Talend.
- Fixed ad-Hoc defects based on performance issues faced due to the lazy loading of data from Hadoop data centers.