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Ruksi Laine
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Ruksi Laine

I am a full stack engineer with a research-heavy background. I have professional experience from big data pipeline DevOps to frontend development and everything between.

August 22, 2019

Effective Machine-Learning Workflows with Azure Pipelines

Ruksi LaineRuksi Laine

Production-grade machine-learning algorithms never come out perfect on the first try. They require the same approach to iteration and testing as any other software project. But validating machine-learning algorithms is particularly hard—harder than writing simple unit or integration tests. And iterating on machine-learning algorithms gets harder as the team contributing to it grows.

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November 12, 2018

Synthetic Training Dataset with Unity

Ruksi LaineRuksi Laine

Synthetic data is artificially created information rather than recorded from real-world events. A simple example would be generating a user profile for John Doe rather than using an actual user profile. This way you can theoretically generate vast amounts of training data for deep learning models and with infinite possibilities.

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October 12, 2018

New Release: Managing Your Experiments Just Got Easier

Ruksi LaineRuksi Laine

Recreating experiments inside Valohai could be a whole lot easier and we’ve heard your cries!

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October 03, 2018

Building Trust in AI Applications

Ruksi LaineRuksi Laine

All of us have seen those fear mongering headlines about how artificial intelligence is going to steal our jobs and how we should be very careful with biased AI algorithms. Bias means that the algorithm favors certain groups of people or otherwise guides decisions towards an unfair outcome. Bias can mean giving a raise only to white male employees, increasing criminal risk factors of certain ethnic groups and filling your news feed only with topics and point of views that you are currently consuming – instead of giving a broad, balanced view of the world and educating you.

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September 07, 2018

Data Scientists Are Rocket Surgeons Stuck With Stone Age Tools 📠

Ruksi LaineRuksi Laine

Whitesnake cover bands of the 2020s. Although both might be sporting the same hobo beards, Data Scientists are getting their work done with just sticks and stones as their tools while us Software Engineers have every tool in the universe.

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July 03, 2018

Top 49 Machine Learning Platforms – The Whats and Whys

Ruksi LaineRuksi Laine

If machine learning is a team sport, like I so frequently hear, machine learning platforms must be the playing fields. And to up your machine learning game, you must have the proper environments to do it.

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