Raktim Mondol
Postdoctoral Research Fellow at UNSW
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolRaktim 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 UniversityB.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 UniversityUNSW Sydney
English, Bangla
Stackoverflow
11reputation
5kreached
1answer
0questions
Github Skills (21)
feature-extraction10
autoencoder10
classifiers10
self-supervised-learning10
ai10
classification9
machine-learning9
deep-learning8
image7
file-handling6
python6
imaging6
image-processing6
computer-vision5
wsi4
Programming languages (3)
Github contributions (5)
raktim-mondol/my-portfolio
Nov 2024 - Nov 2025
Contributions:9 PRs, 261 pushes, 9 branches in 1 year
raktim-mondol/hist2RNA
Feb 2023 - Nov 2025
Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples
Contributions:2 PRs, 145 pushes, 10 branches in 2 years 9 months
computer-visiondeep-learninggene-predictionhistopathology-images
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