Teaching Fellow at Queen Mary University of London
City of Edinburgh, Scotland, United Kingdom
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Summary
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Haris Bin Zia is a machine learning engineer and researcher with eight years of experience bridging academia and industry, currently a Teaching Fellow at Queen Mary University of London while pursuing a PhD in Computer Science. He specializes in building, fine-tuning, and deploying state-of-the-art NLP and LLM systems using Python, PyTorch and the Hugging Face ecosystem, with applied work across ASR, word segmentation, text simplification, content moderation and information extraction. Haris has hands-on MLOps and cloud experience (AWS, MLflow) and has moved research prototypes into production-ready pipelines during research internships and industry roles. He contributes to open-source tooling for decentralized social network data collection and brings an uncommon mix of classroom teaching, research rigor, and practical engineering across global teams in the UK and Pakistan.
8 years of coding experience
3 years of employment as a software developer
Master’s Degree, Computer Science, 3.80, Master’s Degree, Computer Science, 3.80 at Information Technology University
Bachelor’s Degree, Computer Science, 3.48, Bachelor’s Degree, Computer Science, 3.48 at National University of Computer and Emerging Sciences
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Queen Mary University of London
SSC, Science, A+, SSC, Science, A+ at Sir Syed College, Wah Cantt
HSSC, Pre-Engineering, A, HSSC, Pre-Engineering, A at F.G. Degree College For Men, Wah Cantt
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Haris Bin Zia - Teaching Fellow at Queen Mary University of London