Machine Learning Engineer
Current– Built a fully automated workflow that identifies all restaurants in a city, scrapes their websites, processes unstructured datausing AI, and aggregates the results in BigQuery, enabling addition of cities in hours and creating restaurant directories.– Developed a scraping solution to handle diverse restaurant websites, converting unstructured content into a consistentformat for AI cleaning.– Leveraged GenAI models to clean and normalize scraped data, extracting precise features like menus, contacts, stories, andhours while ensuring high data quality for aggregation in BigQuery.– Optimized pipeline orchestration using Google Cloud Run jobs for scalable execution and Google Cloud Storage for datahandling, reducing costs while ensuring reliability.