Optimized model loading for GPU-based AI workloads using OverlayFS (~200ms reduction),

Analyze performance of competing internal Serverless products by running SQL queries and building Python notebooks to analyze overall latency distributions by customer

Help use this knowledge to build a roadmap for migrating from one product to the next

Target analysis data to identify specific performance improvements for the slower product

Implement a performance improvement that utilizes the new eBPF Linux kernel plugin technology to detect when an app is listening on a TCP port

Automate updates to Linux kernels used to power Cloud apps and integrate with experiment-based data analysis

Design a better API for running experiments (A/B testing) on Cloud backend features

Improve performance of A/B testing code across all Google Cloud Serverless production code and reducing CPU usage by 33% (6% of all CPU -> 4% of CPU) by cleverly caching and reloading when needed

Design/implement new experiment types that allow tracing data across multiple services and coordinated experiments across multiple backend services

Migrate to new standard experimentation platform, give presentations to other teams and teach engineers across Serverless how to use the new platform

Designed and implemented a way to dynamically schedule jobs during execution of CI. Used by developers to significantly reduce AWS cost and reduce time to merge code.

Created an Airflow metrics pipeline to collect data on all unit and integration tests at Airbnb. Used to measure impact of integration testing and reduce defects.

Implemented system to identify and notify teams for each flaky unit and integration test via Slack and JIRA

Designed and implemented a UI with Figma and React to search for unit tests and view past successes/failures

Integrated with Bazel to allow disabling of flaky unit tests and consumption of test results from Bazel Build Event Protocol

Worked on improving scalability and performance of a platform to calculate taxes

Reduced latency by 50% on some critical paths and developed model to gracefully respond to extremely high load

Designed and implemented a framework to schedule and execute cron integration tests

Graded assignments

Wrote exam questions

Led discussion sections and went over exams with students

Tutored students 1:1/ Held office hours

Developed a backend for consuming and storing different types of messages written by agents working on fraud cases

Integrated backend system with multiple teams