Irene Zhou is an AI Engineer based in Toronto with 11 years of software engineering experience bridging research and production. She completed an MSc at Université de Montréal where her thesis advanced document-grounded QA by combining extractive MRC with GPT-4 prompting to reduce LLM hallucinations and improve EM/F1 on hard SQuAD 2.0 cases. Her industry work includes building semantic code-analysis tooling, extensive data engineering with Cassandra and Elasticsearch, and test automation at Cisco using PyATS & Genie. Irene pairs hands-on model and prompt engineering with practical systems instincts—shipping reliable pipelines and parsers while supporting users across GitHub and internal communities. She also tutors and mentors STEM students, demonstrating an ability to explain complex topics clearly and lift individual performance. Known for treating “all code bright and beautiful,” she blends aesthetic care for code with rigorous evaluation of model behavior.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Université de Montréal
Nanodegree, Full Stack Web Developer, Nanodegree, Full Stack Web Developer at Udacity
BSc with Honours , Computer Science, BSc with Honours , Computer Science at University of Ottawa
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