Aria Adibi is a pragmatic full-stack software developer with 9 years of experience building scalable, maintainable systems from academia to enterprise financial platforms. With an MS in Computer Science and a Bronze Medal in the National Olympiad of Informatics, she combines strong algorithmic and systems design skills with hands-on implementation across Java, Spring Boot, Vue.js, Python, and C++. At Nakisa she owned end-to-end features—designing a dynamic multilingual UDF framework, an extensible batch engine, and a modular rule-chain validator—while modernizing architecture with Java 17, JPMS, and TDD practices. She also built a custom annotation-processor system on top of Google's tooling and contributed backend fixes and testing improvements to the notable google/auto project. Known for turning complex business rules and Excel-based workflows into reliable, auditable pipelines, she brings curiosity, precision, and a teacher’s clarity to product-focused engineering. Based in Toronto, she thrives on taking ownership of hard problems and shipping solutions that scale.
9 years of coding experience
High School Diploma, Mathematics and physics, High School Diploma, Mathematics and physics at Allameh Tabatabai High School
Master of Science - MS, Computer Science, 3.73, Master of Science - MS, Computer Science, 3.73 at Concordia University
Bachelor of Science - BS, Computer Science, 17.46/20, Bachelor of Science - BS, Computer Science, 17.46/20 at Sharif University of Technology
Contributions:42 reviews, 6 commits, 8 PRs in 5 months
Contributions summary:Aria primarily contributed to the improvement and maintenance of the Java source code generators within the google/auto repository. Their work involved fixing bugs, refactoring code, and enhancing existing functionalities. Specifically, the user addressed issues related to `MoreTypes` and `AnnotationValues` classes, and implemented improvements to testing infrastructure. The user also made enhancements to the Javadoc documentation.
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