Ganesh Patil

Dataset engineering, synthetic data pipelines, and understanding how training data composition actually affects model behavior. Focused on instruction-tuning datasets across coding, medical, legal, finance, and Hindi/Hinglish — a space that's underserved and overdue for serious work. Interested in fine-tuning research, low-resource language NLP, and the quiet art of making sure nothing bad gets into a training loop.