Engineered document-processing pipelines using Gemini 2.5, Document AI, and Vertex AI. Managed prompt lifecycle, golden datasets, evaluation harnesses, and model monitoring. Built data-quality layers and deployed models in production with GitHub Actions and Cloud Run.

Built and maintained ML and LLM-based document-processing pipelines on GCP, implementing LLMOps, prompt lifecycle management, and BigQuery data pipelines. Developed FastAPI backend services, deployed models via CI/CD, and ensured production monitoring.

Generated data-driven B2B quotes, tracked KPIs, and ensured rigorous data integrity in vendor onboarding and invoice processing.

Analyzed market trends and competitor data for optimized B2B quotes, maintained data integrity, and applied analytical checks to reduce errors.

Developed ETL pipeline consolidating multiple datasets, performed EDA and feature engineering, trained ML models, and deployed XGBoost model for real-time predictions.

Built an end-to-end ML system for e-commerce recommendation, engineered ETL pipeline, trained and deployed XGBoost model with FastAPI and Streamlit dashboard.