Siri Core Modeling

Apple AIML internship focused on modeling workflows, LLM evaluation, embeddings, fine-tuning, and performance benchmarking.

• Worked on Siri Core Modeling initiatives involving transformer-based modeling, model fine-tuning, evaluation workflows, and performance benchmarking.
• Built and evaluated AIML pipelines using PyTorch, Hugging Face Transformers, LoRA/PEFT, Sentence Transformers, and vector embeddings.
• Designed deterministic LLM programming and LLM-as-judge evaluation workflows to support reproducible research and model quality analysis.