ETL flows, streaming pipelines, lakehouse architectures, Kafka topologies, Airflow DAGs — modern data engineering patterns.
End-to-end Kafka pipeline showing app events, CDC, and IoT telemetry flowing through topics, stream processors (Kafka Streams, ksqlDB, Flink), and sinking into Snowflake, Elasticsearch, and S3.
Illustrates the InstructIE six-step data pipeline, transforming 171K raw data into 28.5K structured, auditable training sets for LLMs.
This diagram illustrates the InstructIE six-step data pipeline, transforming 171K raw data into 28.5K structured training data through an auditable, engine
This flowchart illustrates the sequential steps for preparing a raw Chinese corpus for Byte Pair Encoding (BPE) training, covering cleaning, splitting, and
This flowchart illustrates the process of preparing text data for machine learning models, involving BPE tokenization and efficient storage using memmap .n
Illustrates the data flow from various sources through a GraphQL layer, configurator, and renderer, with persistence for chart configurations.
Diagram illustrating the process of parsing a user's resume to generate a structured XML user profile for personalized interactions, including caching and