In this episode of the CTO Podcast, host Etienne de Bruin speaks with Lena Skliarova-Mordvinova, CTO and Co-Founder of the Good Face Project. They discuss the origins of the Good Face Project, which aims to educate consumers about the ingredients in personal care products and promote safer alternatives. The conversation delves into the role of generative AI in analyzing ingredient safety, the challenges of navigating the venture capital landscape, and the importance of parenting in the digital age. Lena shares her insights on balancing technology and family life, as well as cultural perspectives on parenting from her experiences in Ukraine. In this conversation, Lena shares her experiences navigating the challenges of leading a tech team in Ukraine during the ongoing war, highlighting the resilience and determination of her team. She discusses the importance of maintaining a sense of normalcy and connection amidst chaos, the innovative tech stack they are using in AI, and the complexities of regulatory environments in the personal care industry. Additionally, she reflects on her passion for space research and the evolution of data mining technologies.

Time Stamps

00:00 Introduction to the CTO Podcast and Guest

03:01 The Good Face Project: Origins and Mission

06:01 Understanding Ingredients: The Science Behind Personal Care

08:53 Generative AI in Personal Care: Innovations and Challenges

12:12 Venture Capital Landscape: Navigating the Hype

15:07 Parenting in the Digital Age: Balancing Technology and Family

21:04 Reflections on Parenting: Learning and Growing Together

26:56 Cultural Perspectives on Parenting: A Global View

34:03 The Power of Connection in Uncertain Times

39:14 Resilience Amidst Chaos: The Ukrainian Experience

45:09 Innovations in AI: Tech Stack and Models

53:39 Navigating Regulations in Personal Care and Supplements

01:02:22 Passion for Space: A Journey Through Research

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Contact Etienne: Website / YouTube / LinkedIn / X / Instagram / The CTO Podcast WebsiteContact Lena: Website /LinkedIn

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