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About me
Software Engineer @ Pinterest. I'm passionate about solving complex data problems and building products that scale to millions of users.
Work Experience
Automated deletion of 1M+ legacy datasets via SparkSQL pipelines in Airflow, cutting S3 storage costs and ensuring compliance
Built access-control, auditing, and compliant data-handling services as part of the Data Privacy team
Enhanced dataset content understanding by implementing automated scanning and metadata extraction in Python within data-governance pipelines
Drove the XML data type to General Availability, coordinating the rollout for over 10K customers
Improved the in-house XML parser by resolving 50+ bugs, enhancing stability for 1.3K+ active users
Implemented XML entity support for SnowflakeDB in C++
Contributed to Datadog's APM Python client library by adding unittest and pytest-benchmark support
Reduced Python tracer overhead by up to 70%, improving performance for 1K+ users
Implemented Intelligent Test Runner support for unittest, streamlining CI pipelines for Datadog customers
Developed end-to-end tests and 90+ unit tests for internal Python libraries
Raised code coverage by 95%, significantly improving reliability and maintainability
Led algorithm optimization efforts, researching and implementing efficiencies across key libraries
Education
Provided mentoring support for incoming and new undergraduate students. Relevant courses: Software Engineering, Object Oriented Design, C, C++, Python, Networks, Data Structures, Databases, Operating Systems, Calculus, Algebra, Probability and Statistics