Raktim Mondol is a Postdoctoral Research Fellow and data scientist in Sydney with nine years of experience building end-to-end AI systems that translate research-grade models into actionable tools. With a PhD in Computer Science from UNSW and a Masters by Research in AI and bioinformatics, he combines strong quantitative foundations with practical expertise in data pipelines, feature engineering, and state-of-the-art model development. He balances academic roles (including longstanding casual academic work at UNSW) with hands-on system design to move prototypes into reproducible, production-ready workflows. Known for blending deep learning and bioinformatics insights, he often tackles cross-disciplinary problems where domain knowledge unlocks better model features. Colleagues describe him as methodical and delivery-focused—equally comfortable deriving theory as implementing scalable pipelines that create measurable value.
9 years of coding experience
Masters by Research, Artificial Intelligence, Deep Learning, Bioinformatics, and Data Analytics, Graduated with High Distinction, Masters by Research, Artificial Intelligence, Deep Learning, Bioinformatics, and Data Analytics, Graduated with High Distinction at RMIT University
B.Sc. in Electrical and Electronic Engineering, Major: Electronics Minor: Computer Science, Graduated with High Distinction, B.Sc. in Electrical and Electronic Engineering, Major: Electronics Minor: Computer Science, Graduated with High Distinction at BRAC University
Contributions:57 commits, 55 pushes, 1 branch in 2 years 2 months
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Raktim Mondol - Postdoctoral Research Fellow at UNSW