Ashwani Tanwar is an NLP Engineer with 9 years of experience, currently driving R&D at Pangaea Data in London where he builds deep-learning solutions for pharmaceutical and clinical NLP challenges. He holds an MSc in Artificial Intelligence (Distinction) from the University of Edinburgh and combines strong mathematical foundations with practical software engineering from earlier work at Deloitte. His research-driven contributions include novel unsupervised methods for numerical reasoning in clinical text (improving recall by 21%) and LSTM/Transformer-based models for temporal ICU predictions, both tied to pending or published biomedical papers. Ashwani also has a track record in low-resource and multilingual NMT from his university internships, releasing finetuned models to the HuggingFace Hub and customising Fairseq for attention fusion—demonstrating an ability to move ideas from research to reusable artifacts. Colleagues know him for blending rigorous probing of model behavior with a focus on scalable, production-ready ML systems.
9 years of coding experience
Master of Science - MS, Artificial Intelligence, Distinction, Master of Science - MS, Artificial Intelligence, Distinction at The University of Edinburgh
University of Delhi
Master of Science - MS, Information Technology, Master of Science - MS, Information Technology at Dhirubhai Ambani Institute of Information and Communication Technology
Contributions:14 PRs, 48 pushes, 1 branch in 6 months
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