Bito CEO Amar Goel sits down with Lena Skliarova-Mordvinova, AI architect, speaker, entrepreneur, and Co-Founder & CTO at the Good Face Project.
With over two decades of experience in AI across industries from space-based image recognition to predictive toxicology, Lena brings a rare perspective on both the early days of AI and today’s GenAI revolution.
Her work at Good Face blends deterministic models with probabilistic approaches to power product formulation, compliance, and transparency in the personal care industry.
In this conversation, she shares what has changed most in AI over the last 20 years, how GenAI is reshaping developer culture, and why data quality remains the biggest bottleneck.
Episode 10 highlights
In this episode of Peer Review, Amar and Lena discuss:
- The MVP to production gap: why turning a prototype into a reliable system is proving harder than expected
- Junior vs senior friction: why enthusiasm for AI tools often clashes with the realities of fixing their output
- Beyond LLMs: why industries like chemistry need probabilistic AI blended with deterministic, structured models
- The future of engineering roles: how AI is reshaping opportunities for juniors and interns, and what that means for senior talent pipelines
- The data challenge: why data cleaning and management remain the biggest hidden bottlenecks in AI adoption
- Advice for founders: why building “AI wrappers” won’t cut it, and what lasting value actually looks like
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