Great work! Thanks a lot for your contributions to Beam!!! On Wed, Sep 24, 2025 at 11:36 AM Charles Nguyen <[email protected]> wrote:
> Hi Beam community, > > With my GSoC 2025 project concluded, I recently wrote up a blog > https://beam.apache.org/blog/gsoc-25-yaml-user-accessibility/ about my > experience working on the project. > > The work includes example pipelines and workflows for ML use cases with > Kafka and Iceberg data sources, using the YAML SDK: > > - *Streaming Classification Inference > > <https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples/transforms/ml/sentiment_analysis>:* > A > pipeline that performs a sentiment analysis task on a stream of YouTube > comments read from Kafka. The overall workflow also includes DistilBERT > model deployment and serving on Google Cloud Vertex AI where the pipeline > can access for remote inferences. > > - *Streaming Regression Inference > > <https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples/transforms/ml/taxi_fare>*: > A pipeline that performs taxi fare amount predictions on a stream of taxi > rides read from Kafka. The overall workflow also includes custom model > deployment and serving on Google Cloud Vertex AI where the pipeline can > access for remote inferences. > > - *Batch Anomaly Detection > > <https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples/transforms/ml/log_analysis>*: > A workflow containing model training and several pipelines that leverage > Iceberg for storing results, BigQuery for storing vector embeddings and > MLTransform for computing embeddings to demonstrate an end-to-end anomaly > detection task on a dataset of system logs. > > - *Feature Engineering & Model Evaluation > > <https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml/examples/transforms/ml/fraud_detection>*: > A workflow containing model training and several pipelines, showcasing an > end-to-end fraud detection MLOps solution that generates features and > evaluates models to detect credit card transaction frauds. > > These illustrative pipelines and workflows will be a very nice addition to > Beam, especially with Beam 3.0 coming up. I'm also very glad to have been > working on this larger goal of democratizing data processing for everyone. > And as always, a huge thank you to my mentor Chamikara Jayalath and the > larger Beam community for your support throughout this project! > > Best, > Charles > >
