Borhan Kazimipour
Chapter Area Lead - Gen AI & Agentic AI at Commonwealth Bank
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolBorhan Kazimipour is a Gen AI and Agentic AI leader with eight years of focused data science and engineering experience, currently heading the Chapter Area for Gen AI at Commonwealth Bank after directing Data Science at the Australian Taxation Office. He holds a PhD in Computer Science (Machine Learning and Optimization) and combines deep academic rigour with practical product delivery—building recommendation systems, knowledge graphs, NLP annotators and cross-lingual models across enterprises like SEEK and ATO. A seasoned coach and lecturer, he has developed and taught multiple data science university units while upskilling teams in transparent modelling, model management and ethical AI. He brings hands-on startup experience as a CTO/co-founder, blending R&D, engineering standards and scalable production pipelines. Notably, his background spans both research and high-impact public-sector deployments, giving him a rare ability to translate advanced ML research into robust, audited solutions for regulated environments.
8 years of coding experience
20 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Shiraz UniversityDoctor of Philosophy (PhD) Computer Science (Machine Learning and Optimization), Doctor of Philosophy (PhD) Computer Science (Machine Learning and Optimization) at RMIT University
Persian, English
Stackoverflow
425reputation
76kreached
8answers
2questions
Github Skills (51)
algorithms10
scipy10
python10
scientific-computing10
machine-learning9
deep-learning9
gpu8
matching8
tensorflow8
spark-ml8
neural-network8
data-science7
hbase7
text-matching7
jupyter-notebook6
Programming languages (3)
Github contributions (5)
borhan-kazimipour/FIT5201
Jun 2018 - Jul 2019
Contributions:14 commits, 12 pushes, 1 branch in 1 year 1 month
borhan-kazimipour/big_data_tutorials
May 2019 - Jun 2020
Some examples and tutorial to work with some Big Data tools (in Docker) such as Hadoop, HBase, Spark, and Scala.
Contributions:25 commits, 2 PRs, 23 pushes in 1 year 1 month
spark-mldockerbig-datasparkscala
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