Staff Machine Learning Engineer
CurrentI've contributed majorly improving Data Scientists experience on model concepting activities. During this time we developed/improved many components for the Machine Learning Platform. Some of these experiences/products includes:Products:- Data Access - A tool for dealing with data I/O. This tool provides data/metadata management on batch/streaming context. [Designed/Developed]- Feature Store - A tool for managing models features. This tool provides an end-to-end feature management in storing/retrieving data in online/batch/streaming contexts. [Designed/Developed]Projects:- Fraud - Worked on fraud prevention project helping improving feature latency writing/retrieving - NPS - Streaming feature transformationTechnologies:- Cloud Provider: AWS- CI/CD: Drone, Tekton and AWS CodePipeline- Development: Python, SQL, PySpark and GO- Data Processing: Spark- Storage: Dynamo, Mongo and S3- Low Latency: Kafka, SNS and SQS
