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...
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...
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...
15 post articles, 4 pages.