At APIUX, I designed a Snowflake and Airflow inference pipeline for real-time facial biometric verification, reaching ~50 ms per image and 86–90% precision.
I also built a Snowflake-backed fraud detection platform with FastAPI microservices for risk scoring, RBAC, audit logging, and data-quality validation.
As a freelance Data Scientist, I developed predictive maintenance solutions for industrial IoT that contributed to ~30% lower equipment downtime, and customer segmentation that improved campaign effectiveness by 25%.
Earlier, I built cloud ETL pipelines at Tata Consultancy Services using Python and AWS Lambda, S3, and EC2. My work spans machine learning, data engineering, and MLOps across AWS, Azure, Google Cloud, IBM Cloud, and Snowflake.

