Financial copilot for institutional investors (chatGPT+EDGAR) backed by Y Combinator (Nicolas Dessaigne & Michael Seibel)

Leading a team of 9 data engineers and data scientists at Apple Pay, building financial data pipeline for fraud AI models.2019 Apple Pay Innovation Award: Recipient of the yearly Innovation Award for exceptional performance in bringing new ideas and inspiration.

1. Led the development and deployment of on-device machine learning models, focusing on advanced fraud detection mechanisms for iTunes transactions.2. Strategically enhanced rule-based models, resulting in more accurate and efficient fraud detection.3. Utilized state-of-the-art algorithms such as Random Forest and XGBoost to refine predictive accuracy.4. Maintained vigilant tracking of model metrics, particularly emphasizing precision and recall, to ensure optimal model performance.5. Achieved a significant reduction in transactional friction, directly leading to savings of millions of dollars for the company.

macOS Spotlight1. Pioneered the integration of fuzzy matching into Spotlight's search index, enabling more tolerant search2. Optimized search algorithms and indexing processes to maintain high performance, ensuring swift search results even with the added complexity of fuzzy matching.