Efficient coders of Generation
EffiGen is a software development consultancy specializing in cloud, data, and machine learning.
Roles:
Technologies:
Designed a The MLOps platform in AWS streamlines machine learning operations by automating the entire ML lifecycle.
The solution Using AWS CDK, infrastructure for SageMaker model training and deployment, AWS Batch for scalable batch processing, and Step Functions for orchestrating serverless workflows, this platform ensures efficient model deployment and monitoring. The integration of these AWS services enables seamless collaboration between data scientists and DevOps teams, driving continuous delivery and continuous training for machine learning models.
Implemented an automated data pipeline using Apache Kafka, Snowflake, and Python for data processing.
This pipeline handles high throughput data ingestion, storage, and real-time analytics processing.
Developed machine learning models for various use cases.
The models were deployed on AWS, GCP as microservices.
Designed a cross-cloud data replication system for incremental data transfer between AWS and GCP for building a datalake solution.
The solution uses services like AWS S3, GCP BigQuery and AWS Glue with Iceberg for building a datalake.
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