Summary
Tawkat Khondaker is an NLP and machine learning researcher-engineer with a decade of experience building production and research-grade AI systems, currently pursuing a PhD at UBC while working as a Graduate Research Assistant on healthcare-focused LLMs and deep research agents. He led the development of NurseGPT at YOURIKA Labs—using mixture-of-experts, RAG, and AWS—to push NCLEX performance up by 2–5%, and his work spans instruction-tuning of LLaMA/T5/GPT, adversarial contrastive learning, and cross-domain abusive language detection. Comfortable across Python, C/C++, Java, Julia and major ML frameworks (PyTorch, TensorFlow, Huggingface), he bridges rigorous academic methods with pragmatic deployment. Notably, he has applied language-modeling and benchmark-design expertise to less-resourced languages (e.g., Arabic commonsense reasoning) and built practical NLP tools like a Bengali spell-checker, reflecting both research depth and real-world impact.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of British Columbia
Bachelor of Science - BS Computer Science and Engineering, Bachelor of Science - BS Computer Science and Engineering at Bangladesh University of Engineering and Technology