Vladimir

Lead Machine Learning Engineer

Deep Learning ยท Computer Vision ยท Sports Analytics

Hello! I am Vladimir and I occasionally write posts here on a variety of topics that I am interested in. Just like the solyanka soup, this blog contains a mixture of everything, hence its name.

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๐Ÿ’ผ Work

Lead Machine Learning Engineer at Harrison.ai, building AI solutions for radiology. Previously worked at Nearmap and Skydio.

See CV โ†’

๐ŸŽ“ Research

PhD in Computer Vision from the University of Adelaide. Research focused on real-time semantic segmentation and dense prediction.

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๐Ÿ“„ Portfolio

Research papers, re-implementations, and personal projects.

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๐ŸŽฏ Expertise

Technical skills and areas of specialization.

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๐Ÿš€ Demos

Interactive browser-based ML demos and applications.

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About me

Currently I am working as a lead machine learning engineer at harrison.ai where I am building radiology-focused AI solutions.

My primary experience is in applied deep learning and computer vision. I have worked across the full stack of machine learning stages, including working with raw data and setting up (multi-node) infrastructure for training / validation / deployment. My programming language of choice is Python (although occasionally I also write in C++ and CUDA if needed) and my deep learning framework of choice is PyTorch (although I have worked with TensorFlow and some of my past work is still quite popular). For deployment purposes, I have primarily worked with TensorFlow.js and TensorRT.

Previously I worked as a senior and lead ML engineer at Nearmap and Skydio.

In-between jobs, I have been pursuing my hobby in football with the goal to level the analytical field such that a football club of any level would be able to collect, process and model their own data without reliance on third-party providers. I am open to finding co-founder(s) with similar interests (see my contact details below).

I did my PhD studies at the University of Adelaide. I was fortunate to work there under the supervision of Prof. Ian Reid and co-supervision of Prof. Chunhua Shen. During my doctorate studies I used deep learning to solve various dense per-pixel computer vision tasks (primarily, semantic segmentation) in real-time and with high performance. My doctorate thesis is available through the University of Adelaide library service. As a PhD student, I was the first author of 6 academic papers, 5 of which were published and presented at major computer vision and robotic conferences, including CVPR and ICRA.

I believe in hard work and curious mind.

Hobbies

My major hobby is European football (known to some by an s-word) and my favourite team is Liverpool FC. I have been supporting Liverpool since 2007 and so far have been fortunate to see them twice with my own eyes (both times losing, so I might be an unlucky charm :flushed:).

My other hobbies include reading books, watching movies and listening to music.

Contact

via email

My CV is hosted here.