Data science:
Classifiers, clustering, experiment design, neural networks (MLPs, RNNs, GANs, RL), NLP (language models, summarization, translation), recommender systems, survival models
Data infra:
Customer data platforms (Segment), cataloging/discovery (Atlan), ETL (dbt, Fivetran, Stitch), experimentation platforms, ML ops (feature versioning, feature stores, model versioning, etc), reverse ETL (Census), warehousing (BigQuery, Snowflake)
Software languages:
JavaScript / TypeScript, Python / Cython, SQL, Swift