“My ultimate dream is to build a next generation healthcare system with the help of AI technology.”
For this week’s ML practitioner’s series, Analytics India Magazine got in touch with Hiroshi Yoshihara, a Kaggle competition master and a machine learning engineer whose work is focussed on public health. He works at Aillis Inc., a Japan based startup developing AI-powered medical devices for early and accurate detection of influenza. 
As a machine learning engineer, Hiroshi and his team developed algorithms to process medical images. He is also a full-time doctoral student in public health at Kyoto University. In this interview, Hiroshi shares a few insights from his data science journey.
AIM: Can you tell us a bit about the beginning of your data science journey? 
Hiroshi: I started learning to program when I was in middle school, and soon I got obsessed with competitive programming. After I entered university, I joined the university team of robot competition as a robot programmer, and also synthetic biology competition as a mathematical modelling engineer. My journey in machine learning started quite unexpectedly. A friend of mine from Russia mistakenly asked me to join an international machine learning competition when I knew almost nothing about machine learning. I was taking a machine learning course at the university, but I could hardly find it interesting until my first participation in the competition. 
The first task was a binary classification of particles from

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