· Designed and implemented a recommender system based on collaborative filtering and matrix factorizationmodels, leveraging daily users' clicks and other engagement data· 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 for personalized query suggestions· Conducted thorough code reviews and applied best practices, ensuring consistency and maintainability across projects and reducing the number of post-release issues by 20%· Assessed the existing development and deployment processes, identifying areas for automation and improvementhttps://searchia.ir

· Designed and developed the offline component of Zarebin's Ava Project, a music search engine covering over 6M music files with an average search time of 250ms, including a web crawler, data parser, and data indexer· Improved services’ reliability utilizing log and metrics aggregation, leading to a 25% reduction in critical incidents· Co-ordinated 5 knowledge-sharing meetings to survey the latest features and standards of the technologies usedhttps://zarebin.ir/ava

· Structured a checkout flow for an online food delivery application from scratch· Conducted performance analysis, load testing, and restructuring of the database schema for 2 backend services, enhancing response time with a 20% 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 results for user queries such as weather updates, sports outcomes, 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 pageshttps://parsijoo.ir