Saravanan Annamalai

Working on a project related to accurate allocation of shipping costs for each item shipped by Amazon. Was involved in re-architecture of systems from event-based to batch-based using Spark to achieve scalability and reduce operational costs.

Tech: Java, Scala, Spark, AWS

• Designed and developed self-learning capability for ML models (MLOps) using Kubeflow and Cloud Composer
• Worked on product customizations for multiple external clients

Project ICE (Image Classification and Extraction):

• Played a key role in design and development of a robust system for classifying mortgage documents using machine learning techniques
• Used Google Cloud AutoML to extract meaningful entities from documents to facilitate enterprise doc-search capabilities
• Leveraged several components on the Google Cloud Platform like Cloud Vision, Storage, PubSub, Memorystore, Kubernetes Engine etc. to build a highly scalable system

Tech: Java 11, Spring Boot, ReactJS, MySQL, GCP

Data Quality:

• Saved $80,000+ a year by developing a web-based workflow application to fix quality issues in multiple data stores in the organization

Tech: SQL, Talend, React-Redux, Spring Boot, IBM ODM, IBM BPM

Data Governance:

• Enriched the organization's data warehouse by building data pipelines using Datastage and Talend
• Leveraged knowledge of Java to reduce ETL development time by 40%
  through automation of job development to improve team efficiency

• Developed microservices to ingest customer events across multiple
  channels in real-time using Kafka