Ali Mahmoudi

· Designed and developed a data pipeline for a Search As A Service platform to handle an average daily volume of 1M events, enabling real-time user profile updates and timely data availability for personalized recommendations · Conducted thorough code reviews and applied best practices, ensuring consistency and maintainability across projects and reducing the number of post-release issues by 20% · Co-ordinated 5 knowledge-sharing meetings to survey the latest features and standards of the technologies used

· Designed and implemented a scalable web crawler for a Persian digital music service, extracting data from diverse sources, resulting in a database of 6+M music files · Developed a data parser to transform raw music data into a structured format, improving data accuracy by 25% · Improved services’ reliability utilizing log and metrics aggregation, leading to a 20% reduction in critical incidents

· Structured a checkout flow for an online food delivery application, boosting order completions by 10% · Conducted performance analysis, load testing, and restructuring of the database schema for 2 backend services, enhancing response time with a 25% decrease in query execution time · Teamed up to realign algorithms with marketing solutions, resulting in a 30% increase in customer satisfaction

· Implemented web scraping services to extract, parse, and index specific data, delivering prominent first-page results for user queries such as weather updates, sports results, and news · Collaborated with a team of 6 engineers to optimize crawling and indexing strategies, expanding the coverage of the Parsijoo Search Engine to 10+B Persian web pages