Summary
Tawkat Khondaker is a diligent NLP Applied Scientist based in Vancouver, Canada, combining 9 years of research and industry experience in machine learning and natural language processing. He currently develops advanced healthcare-oriented AI at YOURIKA Labs, including NurseGPT, a nursing-assistant generative LLM built with mixture-of-experts on AWS, aimed at elevating clinical decision support. Previously, as a Graduate Research Assistant at UBC, he advanced language modeling with adversarial contrastive learning and tackled cross-platform abusive language detection, showcasing his ability to translate theory into robust NLP systems. His technical breadth spans Python, C/C++, Java, and cloud-native ML tooling (AWS, PyTorch/TensorFlow, Huggingface, spaCy), underpinned by a strong foundation from UBC and BUET. He combines rigorous academic training with hands-on delivery, consistently shipping reliable AI solutions while exploring novel approaches to natural language understanding and safe deployment of language models. Notably, NurseGPT has achieved state-of-the-art NCLEX performance, improving accuracy by 2–5 percentage points, underscoring his impact on real-world clinical NLP tasks.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at The University of British Columbia
Bachelor of Science - BS, Computer Science and Engineering, 3.87/4.00, Bachelor of Science - BS, Computer Science and Engineering, 3.87/4.00 at Bangladesh University of Engineering and Technology