Shariyar Murtaza
AVP AI at Toronto Metropolitan University
Canada
Summary
👤
Senior🎓
Top SchoolShariyar Murtaza is an AI leader and researcher with 11+ years driving applied machine learning and Generative AI at enterprise scale, currently serving as AVP AI at Manulife Canada. He leads cross-regional teams building RAG and fine-tuned small language models, operationalizing LLMOps, drift detection and hallucination validation while launching an enterprise ChatMFC that preserves PII controls. An academic practitioner, he is an adjunct professor at Toronto Metropolitan University teaching NLP and big data, and has authored ~30 publications across top venues including a NAACL paper on RAG implementations. His background spans industry and research—from inventing deployed fault-detection techniques during his PhD to building award-winning open-source tools for anomaly detection—so he bridges rigorous research with measurable business impact (fraud and analytics programs he led saved substantial losses and revenue). He also pursues collaborations with Canadian universities to transfer R&D into production, and holds leadership training from Harvard Business School Online.
11 years of coding experience
19 years of employment as a software developer
Ph.D. Software Engineering and Machine Learning, Ph.D. Software Engineering and Machine Learning at Western UniversityMS Computer Engineering, MS Computer Engineering at Kyung Hee UniversityCertificate in Leadership Principles, Certificate in Leadership Principles at Harvard Business School OnlineUniversity of Karachi
English, Urdu
Github Skills (5)
text-mining7
mining7
anomaly-detection5
python4
react1
Programming languages (2)
Github contributions (5)
sshahriyar/totalads
Dec 2014 - Dec 2015
Contributions:1 release, 26 commits, 4 PRs in 11 months
tracesanomalytotalanomaly-detectionlogs
sshahriyar/va
Nov 2017 - Jan 2022
Contributions:13 pushes, 1 branch in 4 years 2 months
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