Create dataset for face generation using Unreal Engine. Process data for transfer learning. Fine-tune pretrained model. Integrate trained model into the application. Develop backend to transform input data and trigger the model to generate results. Develop frontend page to receive input images and handle input constraints.

Manage team progress. Review merge requests. Write documentation. Write unit and functional tests. Set up project source code, Dockerfile, and Docker Compose. Utilize Celery for handling API file uploads. Create a rate limiter to manage excessive requests. Develop a dashboard to monitor incoming requests and manage data for payload mapping.

Manage team progress. Review merge requests. Use WebSocket to communicate with the front-end when a call event is created, updating user's online status. Use Redis pub/sub to send messages between services. Create a dashboard to manage users, user profiles, and settings.

Manage team progress. Review merge requests. Setup project source code, Dockerfile, and Docker Compose. Use Celery to create a scheduled collector. Create multiple dashboards and charts to display CSAT metrics.

Manage team progress. Review merge requests. Use Celery to create a scheduled collector. Develop multiple services for monitoring and sending alarms. Create dashboards to monitor alerts across multiple network devices.

Set up a pipeline and created scripts for data migration from Amazon RDS. Migrated data from RDS to AWS S3 using AWS DMS and from AWS S3 to Snowflake. Developed backend and frontend systems to manage and trigger migration jobs without needing AWS console access. Configured DAGs in AWS Airflow to migrate data between RDS PostgreSQL environments.

Develop and dockerize applications. Create HTML email templates for automated reports. Integrate with AWS Airflow and AWS Batch for scheduling. Develop backend systems to transform data from the database. Create frontend pages for embedding generated reports. Conduct code reviews.