At Auralis AI Labs, I design and maintain Python-based ML pipelines for multilingual NLP systems. I curate and evaluate low-resource language datasets and assess LLM outputs for factual accuracy, hallucination detection, and cultural alignment.
Across my ML and AI data work, I’ve supported model training, annotation, evaluation, and QA for NLP, speech, and multimodal systems. I’ve also worked as a medical, legal, and general interpreter, and hold a foundation in Mechatronics & Robotics Engineering.
