LoRA and DoRA Implementation
Parameter-efficient fine-tuning from first principles — every matrix decomposition derived and implemented in PyTorch without libraries. Validated against Hugging Face PEFT outputs for correctness.
Personal project
Parameter-efficient fine-tuning from first principles — every matrix decomposition derived and implemented in PyTorch without libraries. Validated against Hugging Face PEFT outputs for correctness.
An empirical study of GRPO, controlled ablations, uncertainty, and failure modes in reinforcement learning with verifiable rewards.
Sequence classification models for personalized size prediction in luxury fashion — LSTMs, attention mechanisms, and a published paper at ACM RecSys 2023.