I have a background in computer science and AI, and I design, build, and operate data solutions that serve customers at scale. 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) Design and Construction of Intelligent Systems ii) Product Management of Data Products. iii) Building High-Performance Technology Organizations.

My PhD projects integrate emerging machine intelligence technologies to explore applications 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 optimizing in real-time, business process execution [blog_post] [Paper] [Code]

• Datasets: | Datasets and resources I built during PhD research
• Scripts | Scripts for building datasets

• Software Directory | Side projects and Scripts

• Indigo | Indigo - A Flask Data App Generator

• 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