Extracting data from documents with an LLM is easy in a demo and hard in production. Lessons on building auditable, self-improving document-automation systems on GCP.
Document AI Engineer
French & Arabic Document Extraction
Data Engineer - Kafka, PySpark, Airflow
PhD Candidate - Multi-Agent RL
Document AI Engineer
French & Arabic Document Extraction
Data Engineer - Kafka, PySpark, Airflow
PhD Candidate - Multi-Agent RL
Extracting data from documents with an LLM is easy in a demo and hard in production. Lessons on building auditable, self-improving document-automation systems on GCP.
How a real-time pipeline processing 4M+ records a day used layered anomaly detection – Isolation Forest, Autoencoders, and time-series methods – to catch 25% more incidents before they reached customers.
A walkthrough of a streaming ETL architecture that ingests operational data, scores it for anomalies in real time, and lands clean metrics in Power BI – built with Kafka, PySpark, Airflow, and Prometheus.