• Worked to decrease emissions in the national freight network through optimizing routing, providing confidence in the feasibility of adopting EVs by proposing optimal charging station placement, and partnering with Uber Freight to exchange data and insights

• Utilized optimization methods and software to formulate the routing problem of generating bundles of loads and created a simulation to analyze the effects of different routing and pricing algorithms

• Built a fully shippable feature to calculate and leverage the correlation between columns in a database to improve the accuracy of estimating filter selectivities for functionally dependent columns. Designed and implemented the corresponding UI

• Implemented a custom built-in database function to streamline OpenAI API calls for a hackathon project by integrating AI directly into the engine backend and demonstrating use cases such as table completion, data classification, and vector similarity search

• Built out tooling in the CI/CD pipeline to automatically verify determinism is held with code changes in Temporal workflows, which support the automation of business processes, to give instant feedback to developers and prevent outages

• Leveraged the Temporal open source platform that provides reliable program execution and long-running processes. Contributed to open source feature development and wrote a blog to share the work and progress

• Implemented a feature in Go to prevent unsafe and suboptimal matches from being made between rider and driver

• Updated the database schema to store more complete information and improved querying methods

• Used React to reflect the new feature changes in the frontend for customer support agents