In the age of AI, Data Science becomes more important than ever. Building new products and features will only get cheaper, but that means the new bottleneck is the core DS feature set: defining success, measuring it and delivering improvement.

AI can’t do this on its own. It can help capable individuals do it better.

Hi! I'm Michael

Why me?

I am a Data Scientist with over a decade of experience across multiple industries. In my most recent role at Google, I focused on data acquisition and data quality for flagship AI products like Gemini. Currently, as the lead data scientist at a startup, I am always looking for new opportunities to solve complex Data Science and AI challenges.

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My services

glacier

AI audits and integrations

Assess your business’s AI capabilities and add new automations, with LLMs, agents, NLP and other AI technologies.

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Dataset development

Define and generate meaningful datasets to improve next generation applications. Measure data quality, validity and reliability. Build autolabeling pipelines and data validation tools to scale.

Growth

Measure success, apply experiments and deliver meaningful improvements for your customers. Apply predictive modeling, forecasting and advanced statistics to your business problems.

Let's work together.

Let's talk