Roman Bugaev is the CTO at Flo, one of the world’s largest health and fitness apps, with over 75 million monthly active users. Flo is revolutionizing women’s health by leveraging AI to personalize insights, improve engagement, and ensure medical safety at scale.

In this conversation, we dive deep into how AI is transforming digital health, from predictive cycle tracking to AI-powered chatbots that support users in their health journeys.

In this episode, we discuss:

• How Flo’s AI-powered cycle prediction model improves accuracy and user engagement,
• Role of generative AI in scaling high-quality medical content,
• Challenges of AI in healthcare,
• Why privacy-first AI and post-quantum encryption are critical in digital health,
• And much more!

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Brought to you by Autoblocks (https://www.autoblocks.ai/) — helping teams build safe, reliable, and compliant LLM-based products.

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Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery explores how AI is reshaping industries in real-time. This season, we're diving deep into one of the most impactful and high-stakes applications of AI: healthcare.

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Subscribe to Building With AI:

• Website: https://www.autoblocks.ai/bwai
• X: https://twitter.com/buildingwith_ai

Where to find Roman Bugaev:

Linkedln: https://www.linkedin.com/in/rbugaev/

X: https://x.com/rbugaev

Learn more about Flo Health:

• Website: https://flo.health
• LinkedIn: https://www.linkedin.com/company/flohealth/
• X: https://x.com/flotracker

Where to find Haroon Choudery:

• Linkedln: https://www.linkedin.com/in/haroonchoudery/
• X: https://x.com/haroonchoudery

Learn more about Autoblocks:

• Website: https://www.autoblocks.ai/
• X: https://twitter.com/AutoblocksAI

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[00:00] – Up Next

[00:16] – Episode Introduction

[01:49] – Autoblocks: AI Optimization Platform

[03:15] – Roman’s Introduction

[04:43] – Flo’s Evolution and Success

[10:24] – Traditional ML vs. Generative AI in Healthcare

[18:34] – The Role of Human-in-the-Loop AI

[24:29] – Ensuring AI Safety & Accuracy at Flo

[32:08] – Bias in LLMs

[35:38] – LLMs’ Hype vs. LLMs’ ROI

[38:18] – Challenges and Future of AI at Flo