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My journey to founding Acceldata in 2018 began nearly 20 years ago as a softwareengineer, where I was driven to identify and solve problems with software. As organizations increasingly rely on AI to drive business decisions, the need for trustworthy, high-quality data becomes even more critical.
He’s passionate about all things data and open source as he spends his spare time doing hackathons, prototyping new projects, and exploring the latest in data. Could you share your personal story of how you became involved with softwareengineering, and worked your way up to being CTO of Astronomer?
This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality dataintegration problem of low-cost sensors.
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I started from tech, my first job was an internship at Google as a softwareengineer. I’m from Poland, and I remember when I got an offer from Google to join as a regular softwareengineer. They started off as doing dataintegrations, and then became the ML monitoring team. How awful are they?”
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