Worked on ML lifecycle challenges across distributed training, evaluation and inference for LLMs and traditional ML models.

Improved ML models for Twitter’s Ads Prediction Systems (CTR and app install), and developed calibration approaches for privacy-preserving models built on Apple’s SKAdNetwork.