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I have a background in computer science and AI, and I am currently working as a Data Scientist at UNSW. Previously, I worked with the core teams of several early-stage and high-growth startups, serving as both a data scientist and a software engineer. My role involved building AI-driven products and solutions in areas like Business Process Analytics, Information Retreival, and recommender systems. I have expertise in Algorithmic thinking, Rapid Prototyping via design thinking and R&D thinking through first principles.I am a lifelong learner, striving to learn the art of i) Building High-Performance Technology Organizations. ii) Product Management of Data Products. iii) Design and Construction of Intelligent Systems

My projects incorporate emerging machine intelligence technologies and explore applications of augmented intelligence for effective decision making under uncertainty.

• Deep Reinforcement Learning based Clinical Decision Support for Sepsis treatment in emergency room [blog_post] [Paper] [Code]
• Memory Augmented Neural Networks for supporting business process execution [blog_post] [Paper] [Code]
• Distributed process event data mining using federated learning
• Sequential User Session Data for build recommender system using LSTMs
• Anomaly detection for predictive Maintience

• Misc Software Projects | Scripts and Pet projects

• Elvive | A PySpark Library - Computational Analytics Toolbox for Knowledge Driven Products

• Datasets: | Datasets and resources I built during PhD research

• Notes | Guides and notes on Data-Centric Computing (work in progress)

• Publications | Academic Papers (published and Pre-Prints)

• Writing | I blog about my experiences here

• Work setup | My worksetup and How i work

Programming is the art of Function, Form, Logic, and Balance.

Utility of the working program provides Function.

Organization and good abstraction creates Form.

The correctness is established with Logic.

Limitations and tradeoffs require harmonious Balance.

--Jeremy Kun