Jacob Crabtree Email & Phone Number

Sunnyvale, Ca, Us

● Redesigned core ML platform using workflow orchestration framework (Prefect), leadingto a 90% reduction in average stream processing time● Grew app from its first 10K users to 100K+ users with thousands of paid subscribers byaiding in the launch of Stripe API and public Discord integration● Organized production release process across all applications and ML models, resulting inconsistent 2 week release cycles for newly supported games● Introduced build and release versioning, automated rollbacks, healthchecks, replicateddeployments, type-safety, and test driven development, leading to a large reduction inthe engineering resources required for on-call support

Sunnyvale, Ca, Us

• Reached 99.9% uptime for all services by setting up core monitoring, logging, and alerting stack from zero as well as onboarding all applications to Docker, Sentry, Loki, and Prometheus• Designed and delivered company’s first personalized email marketing initiative, which achieved a 3x higher open rate and a 5x higher click rate than generic email campaigns, leading to higher overall user retention• Developed staging system across all applications allowing safe end to end testing of new features by using a complete and isolated replica of full application stack, thus optimizing developer productivity with a 100% increase in total number of commits and reduction in average time-to-merge

New York, Us

• Designed and deployed an API which led to a successful launch of the CoinDesk Smart Contract Platform Select Ex ETH Index; serves as a benchmark for a multi-million dollar fund at Grayscale, the largest digital asset manager in the US• Played a key role in on-boarding company to Amazon Elasticache (Redis) service, which enabled company to launch its first new index product in ~2 years, while also avoiding costly and time intensive data migration efforts

Teaneck, New Jersey, Us

• Provided technical consulting for a leading US bank by maintaining large scale compliance systems, monitoring customer transaction data, identifying possible money laundering, and delivering customer risk ratings• Redesigned Pandas/Snowflake based ETL framework resulting in ~50x speedup on ~5x cheaper hardware through use of Apache Spark and an Amazon EMR cluster• Identified source of a longstanding security vulnerability in client’s software and traced it back to a race-condition in the snowflake-connector-python package; collaborated with engineers at Snowflake to design updates, thus resolving the security vulnerability and preventing the underlying race-condition for all future consumers of Snowflake