Featured Projects

Teradata to GCP Migration project screenshot

Teradata to GCP Migration

Led a complex enterprise-wide migration from on-premises Teradata to Google Cloud Platform, implementing modern data architecture and best practices.

Key Results:

  • Successfully migrated 500+ TB of data with zero data loss
  • Reduced infrastructure costs by 40%
  • Improved query performance by 3x
  • Implemented automated CI/CD pipelines for data workflows

Technologies:

Google Cloud Platform
BigQuery
Dataflow
Cloud Storage
Terraform
dbt
Airflow
ML Feature Store & Model Registry project screenshot

ML Feature Store & Model Registry

Designed and implemented a centralized feature store and model registry to streamline machine learning operations and improve model deployment efficiency.

Key Results:

  • Reduced feature engineering time by 60%
  • Decreased model deployment time from days to hours
  • Implemented version control for 100+ ML features
  • Standardized ML model lifecycle management

Technologies:

Vertex AI
BigQuery
Cloud Functions
Python
TensorFlow
MLflow
Docker
Product Recommendation AI System project screenshot

Product Recommendation AI System

Developed an advanced recommendation system using machine learning to provide personalized product recommendations to customers.

Key Results:

  • Increased customer engagement by 25%
  • Improved conversion rates by 15%
  • Processed 1M+ user interactions daily
  • Achieved 95% recommendation accuracy

Technologies:

Vertex AI
Recommendations AI
BigQuery ML
Cloud Run
Python
TensorFlow
FastAPI