Elisa Uhura

Experience

Software Engineer, Microsoft, Vancouver, Canada ^{from Jan 2023 to Today}

• Developed a series of tools, including custom parsers, dependency solvers, and source generators to extend the functionality of Data Factory development pipelines.
• Extended an internal DSL parser to enabled support for interpolated strings in Data Factory Pipeline Return Value feature.
• Proposed and executed a project to reduce test flakiness, addressing a variety of race conditions and `sleep` calls, decreasing the amount of flaky tests by 30%.
• Implemented patches to enable Data Factory to be built in Linux and MacOS, including ARM support, which reduced build time by 20% when compared to Windows.
• Maintained deployment templates using ARM Templates to manage applications, Kubernetes clusters, and associated resources like Caches and Blob Storages.
• Proactively identified and addressed complex live production issues in Azure Data Factory orchestration services, an ETL service that handles petabytes of data on a global scale.

Quantitative Analyst, Itaú Unibanco, São Paulo, Brasil ^{from Jan 2022 to Jul 2022}

• Architected and implemented a new low-latency pricing engine using StreamBase.
• The new engine achieved a 10% lower latency, introduced support for multiple currencies, financial operations, custom risk model, and concurrent clients.
• Implemented a new connector in Java to enable SignalR services to reliably use the new engine, reducing the cost of Forex to all clients due to the lower required margins.
• Designed and implemented new tooling in Python to automate the deployment of production resources, effectively eliminating incidents caused by manual errors.

Software Engineer Intern, Microsoft, São Paulo, Brasil ^{from May 2021 to Aug 2021}

• Designed, validated and implemented Pipeline Return Value support for Data Factory, driving meetings with multiple managers and PMs to design the API extensions.
• Implemented the backend changes in C#, including a parser to convert from our DSL to LogicApps expressions. Implemented UI changes using Angular and TypeScript.
• Created a demo to show that ADF Pipelines (by themselves) are now Turing-complete by computing the Fibonacci sequence using the new feature.

Education

B.S. in Computer Science, University of São Paulo, Brazil ^{from Feb 2018 to Feb 2022}

• GPA 8.5/10 (US 3.7), Graduated with honors, ranked 6th/72.
• Teaching Assistant for Intro to Computer Science and Parallel Programming.
• Promoted, presented, and managed multiple events, including hackathons.
• Assistant in HPC Research, implemented advanced measuring techniques and tuned C-based benchmarks like PARSEC to task based paradigms.
• Wrote educational material about software benchmarking published at ERAD/RS.