Summary
Ramsha Siddiqui is a Machine Learning Engineer with 9 years of experience specializing in NLP for Conversational AI, dialog systems, and knowledge logistics. She led development of an automated ML pipeline for call transcription analytics that powers tasks such as dialogue-state tracking, active listening via dialogue acts, readability difficulty-indexing, and hedge cue detection. Comfortable across research and production stacks, she uses Python, TensorFlow/PyTorch Lightning, Hugging Face, Rasa and tools like Snorkel and Label-Studio to move models from prototype to deployed pipelines. A former co-founder of an artist marketplace and a research intern on facial and emotion recognition, she blends entrepreneurial grit with applied research. Based in Punjab, Pakistan, Ramsha is driven by continuous learning and practical solutions that improve human–machine conversational understanding.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Information Systems, 4.00, Bachelor's degree, Computer Information Systems, 4.00 at University of the Incarnate Word
Bachelor's degree, Computer Science, 3.78, Bachelor's degree, Computer Science, 3.78 at National University of Computer and Emerging Sciences
English