• Currently working on improving the Palantir Foundry developer toolchain to enable developers to easily and performantly build powerful applications on top of Foundry.

• Worked on making data integration and transformation in Palantir Foundry seamless and intuitive.

• Worked on improving Palantir Foundry to better serve healthcare workflows and move the needle on patient outcomes.

Worked on the Listings Platform team improving how customers interface with their businesses’ online presence and ensuring their business

data is up to date across Google, Facebook, and hundreds of other Internet platforms.

• Built a service that handles running various tasks and workflows on different cadences and triggers, scaling up to millions of tasks run per day.

• Led a project building a new system to surface data from multiple microservices to external stakeholder teams via new APIs.

• Helped redesign the Listings Platform onboarding process, letting users connect their Google accounts, locations, and verify them.

• Sharded several systems to optimize their resource usage given business usecases increasing overall system reliability.

• Worked with technologies like Java, React, RabbitMQ, and MySQL.

• Worked on the Platform team and built tools to optimize medical team delivery of healthcare

• Worked on the Growth team and launched experiments to improve key metrics, built marketing tools, and improved the Forward website

• Worked with technologies like Go, Typescript, React, GraphQL, AWS ECS, RDS, SQS, CloudFormation, CloudWatch.

• Worked on the AWS RDS with Hybrid Cloud team during Summer 2020.

• Worked with technologies like Java, Guice, Apache Kafka, gRPC, and heavily using AWS RDS events through SNS and CloudWatch.

• Worked on the Genomic Algorithms team expanding the ethnicity matching algorithm’s implementation and tooling.

• Updated and improved ethnicity algorithm’s usage of task queues, batch sizing, AWS EC2 instance types, and caches.

• Created a tool to efficiently recompute ethnicity results for 15 million existing customers to provide the latest most accurate results.

• Built tool’s front-end using Vue.js, back-end with Python, Sanic, and used tools like Docker, Redis, Terraform, and AWS Fargate, Lambda.