Hanshika Thukral

I’m an AI/ML Engineer with 2+ years of experience owning the full ML lifecycle—from pipeline architecture to production deployment—as the sole ML/data practitioner at a D2C health brand.

I build end-to-end ETL/ELT analytics layers unifying structured and unstructured data, and I operationalize ML on AWS SageMaker Pipelines and Batch Transform with versioning, orchestration, experiment logging, and monitoring for 1M+ daily predictions.

My work blends performance with reliability: I migrated inference to AWS SageMaker to cut costs by 40%, created drift-triggered retraining to reduce manual intervention by 60%, and standardized MLflow + Airflow CI/CD pipelines to cut time-to-production by 50%.

Across GenAI and ML, I’ve delivered measurable outcomes—recommendations lifted conversion by 20% and engagement by 35%, churn prediction reduced projected churn by 18%, and GPT-4-generated weekly sales commentary freed up ~4 hours/week inside the ETL flow.