Full Stack AI Engineer
Highlights
- Prototyped 20+ event-importance features across three scheduling products, including an event-topic classifier using multilingual sentence embeddings and semantic similarity matching, in Python and SQL.
- Implemented topic-modelling algorithms (BERTopic, K-means) to discover event topics from historical data.
- Engineered 6 dbt data models on Amazon Redshift computing meeting- and attendee-level features for event-importance scoring, validated by 30+ data-quality tests.
- Built end-to-end data pipelines with Apache Airflow DAGs, connecting the dbt models to the event classification step.
- Accelerated prototyping and delivery through an AI-assisted development workflow.
