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Philip leads Innowise’s Python, Big Data, ML/DS/AI departments with over 10 years of experience under his belt. While he’s responsible for setting the direction across teams, he stays hands-on with core architecture decisions, reviews critical data workflows, and actively contributes to designing solutions to complex challenges. His work revolves around turning data into real business value, and he’s always seeking smarter, more efficient ways to get there.
Over the last decade, Philip has worked across industries from eCommerce and FinTech to game development and manufacturing, diving deep into data engineering and AI. He’s helped businesses not just store data, but actually use it to make smarter decisions. Whether it’s optimizing legacy data systems or building machine learning models, he’s always focused on delivering something that moves the needle.
Outside of work, Philip’s a fan of sports and racing, always up for a little adrenaline. He’s also into physics and technology, constantly exploring how the two come together to shape the future.
Philip's one of those rare people who can juggle deep technical work while keeping the bigger picture in mind. He always makes sure that the solutions we deliver actually drive results for the business, not just for the sake of technology. I really trust his judgment when it comes to making tough calls. He’s a true leader.
Working with Philip is a breath of fresh air. He’s not just a boss; he’s someone who really takes the time to explain things and make sure the team understands the bigger picture. He’s all about empowering us to do our best work, and you can really see how much he cares about getting things right. It’s motivating to be part of his team.
Philip has this unique ability to simplify the complex. He breaks down technical challenges and makes them feel manageable, which is something you don’t see every day. Every time we work together, I know things are going to run smoothly, and he always delivers with the kind of precision you don’t get from just anyone.
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