Rehan Rana is an AI/ML Engineer with six years of hands-on experience applying data-driven solutions across research, non-profit, and product settings, currently building ML capabilities at Kagi. He pairs a strong computer science foundation with business training, enabling him to translate stakeholder needs into automated workflows and reliable analyses—from automating large Excel tracking systems to developing mutation-resolving tables for clinical datasets. Comfortable with end-to-end data work, Rehan has led UAT, authored user documentation for clinicians, and liaised directly with researchers to refine ambiguous requests into actionable pipelines. His background in both QA and data analysis gives him a practical focus on data quality and reproducibility that complements his model-building work. Based in Ajax, Ontario, he brings a pragmatic, cross-functional mindset and a proven ability to improve efficiency and accuracy in data-rich environments.
6 years of coding experience
Bachelor's degree, Computer Science, 10.20/12, Bachelor's degree, Computer Science, 10.20/12 at Wilfrid Laurier University
Contributions:33 pushes, 18 branches in 3 years 3 months
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