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Earlier roles feature YouTube course platform implementations, payments integration, large-scale metrics pipelines, security analysis for Alexa skills, AWS Lambda runtime migration, and performance optimizations for distributed 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github.com/johnnymedhanie)[ jonathanmedhanie@gmail.com](347-677-9860 | jonathanmedhanie@gmail.com | linkedin.com/in/jonathanmedhanie | github.com/johnnymedhanie)[ |](347-677-9860 | jonathanmedhanie@gmail.com | linkedin.com/in/jonathanmedhanie | github.com/johnnymedhanie)[ linkedin.com/in/jonathanmedhanie](347-677-9860 | jonathanmedhanie@gmail.com | linkedin.com/in/jonathanmedhanie | github.com/johnnymedhanie)[ |](347-677-9860 | jonathanmedhanie@gmail.com | linkedin.com/in/jonathanmedhanie | github.com/johnnymedhanie)[ github.com/johnnymedhanie](347-677-9860 | jonathanmedhanie@gmail.com | linkedin.com/in/jonathanmedhanie | github.com/johnnymedhanie)  \nEducation  \n\n| University | of British Columbia | Vancouver, BC |\n| --- | --- | --- |\n| Bachelor of | Arts in Mathematics and Computer Science | Graduated April 2021 |\n| Experience |  |  |\n| Ernst & Young New York, NY\u003Cbr>Senior Software Engineer Jan 2024 – Present\u003Cbr>– Architected and led development of the 1120 Tax Form Reviewer Tool, managing a team of 4 engineers while owning system design, sprint planning, and code reviews while implementing key features. Drove firm-wide adoption delivering $1M+ annual savings and reducing partner sign-off time by 30% .\u003Cbr>– Expanded platform scope from 1120 to 1065 and 1040 forms after initial success, with partners across Business Tax Compliance, FSO, and Indirect Tax requesting rollout now processing 15,000+ returns for 8,000+ users firm-wide.\u003Cbr>– Built Knowledge Assist Tool, designing the RAG architecture combining semantic search over a vector database with LLM-generated responses. Enabled tax professionals to resolve complex queries in seconds, eliminating hours of manual research.\u003Cbr>– Drove cross-functional alignment across engineering, tax SMEs, and external clients. Led stakeholder syncs, presented roadmaps to leadership, conducted user interviews, and translated business requirements into technical specs.\u003Cbr>– Owned production reliability as primary on-call contact during peak tax season, implementing monitoring and logging for all LLM-powered services on our platform.\u003Cbr>Google New York, NY\u003Cbr>Software Engineer Jan 2022 – May 2023\u003Cbr>– Validated and built YouTube Courses end-to-end: designed the A/B experiment that proved user demand and justified the product investment, then implemented the C++ backend service for course recommendations and the payment processing system launching across US, Canada, Korea, Brazil, Japan, and India.\u003Cbr>– Engineered the RPC integration between YouTube and Google Payments, handling offers, pricing, geo-targeting, and tax for course purchases. Authored design docs, wrote unit tests, and executed staggered rollouts\u003Cbr>– Built transaction, conversion, and engagement metrics pipelines storing and querying 100s of GBs daily, enabling product and leadership to track user behavior and make data-driven decisions on feature investment.\u003Cbr>Amazon Vancouver, BC\u003Cbr>Software Engineer Aug 2020 – May 2021\u003Cbr>– Implemented a security feature on the Alexa Skills team that analyzed every uploaded skill for malicious behavior, automatically blocking risky updates and notifying security teams.\u003Cbr>– Led the Node 12 migration effort for the internal AWS Lambda runtime environment, deprecating outdated runtimes and updating internal tooling to support new platform features.\u003Cbr>Twitter San Francisco, CA\u003Cbr>Software Engineer Intern Jun 2019 – Aug 2019\u003Cbr>– Optimized the data exporter pipeline for Manhattan, Twitter’s real-time distributed database, by 200x, reducing file counts from 4.5M to 20K by implementing custom MapReduce jobs in Java that intelligently split and merge dataset partitions.\u003Cbr>– Tuned Hadoop and MapReduce configurations to improve CPU and storage efficiency, reducing total job duration from 4 ho","cbCaiao3gh70i49w","https://ap.wps.com/l/cbCaiao3gh70i49w","pdf",27759,"English","# Experience\n## Ernst & Young\n## Google\n## Amazon\n## Twitter\n## Cisco\n# Skills","[{\"question\":\"Which companies and roles are listed in Jonathan Medhanie’s experience?\",\"answer\":\"The resume lists roles at Ernst \\u0026 Young (Senior Software Engineer), Google (Software Engineer), Amazon (Software Engineer), Twitter (Software Engineer Intern), and Cisco (Software Engineer Intern).\"},{\"question\":\"What major project did Jonathan lead at Ernst \\u0026 Young?\",\"answer\":\"Jonathan architected and led development of the 1120 Tax Form Reviewer Tool and managed a team while owning system design, sprint planning, and code reviews.\"},{\"question\":\"What AI/ML approach did Jonathan build for tax professionals?\",\"answer\":\"Jonathan built a Knowledge Assist Tool using RAG, combining semantic search over a vector database with LLM-generated responses to resolve complex queries quickly.\"}]","Jonathan Medhanie Resume | PDF",1789780957]