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From AI Ambitions to Action: A Mental Health Startup's Journey

“We need AI to measure patient mood.” This was the directive I received when joining HealthRhythms as VP of Engineering & Data Science. Like many companies, they knew AI could transform their business but weren’t sure exactly how. Within 4 months, we doubled our usable data, increased our core prediction accuracy by 11%, and cut model itera...

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Data is Wicked

Picture this: A data scientist spends hours configuring YAML files, debugging pipeline errors, and switching between five different tool UIs just to test a simple feature idea. Meanwhile, an analyst in Excel has already cleaned their data, built a model, and presented insights to stakeholders. Something’s wrong with this picture – and it’s not t...

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Modernizing Data Infrastructure: A Mindstrong Case Study

When data infrastructure struggles to keep pace with business needs, the impact ripples throughout an organization. As Lead Machine Learning Engineer at Mindstrong, I encountered this firsthand when our analytics infrastructure began hampering executive decision-making capabilities. The Challenge: Data Delays Crippling Decision Making Our data...

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