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About
I%27m a founder-operator building a regulated-industry SaaS from zero in one of the most demanding verticals there is — AI-powered evidence synthesis for pharmaceutical companies and CROs. At Puraite, I%27ve had to solve the full stack of early-stage challenges simultaneously: product-market fit in a heavily regulated space, enterprise sales cycles with compliance gatekeepers (GDPR, EU AI Act, DORA), technical architecture decisions that survive due diligence from pharma procurement teams, and competitive positioning against well-funded US incumbents, all while maintaining a parallel academic research track in Data Science at the University of Paderborn.
This dual lens — academic rigor and commercial pressure — means I bring a rare combination: I can evaluate technical claims with depth (AI/ML architecture, explainability, data governance) while also stress-testing go-to-market strategy, regulatory readiness, and whether a product is actually built for the customers it claims to serve. I%27ve done pre-sales technical reviews, built compliance addenda for regulated buyers, led competitive intelligence efforts, and pitched at international events like Slush & WebSummit.
Companies that would benefit most from my expertise:
Health tech and life sciences AI startups navigating the gap between a promising ML model and a product that regulated customers will actually procure
B2B SaaS companies selling into regulated industries (pharma, insurance, healthcare, financial services) who need help with enterprise readiness, compliance positioning, and surviving technical due diligence
European deep tech startups that need to turn EU regulatory frameworks (GDPR, EU AI Act, DORA) from obstacles into competitive advantages versus US competitors
Research-to-product spinouts bridging academic R&D and commercial viability — especially those struggling with pricing, positioning, or their first enterprise customers
This dual lens — academic rigor and commercial pressure — means I bring a rare combination: I can evaluate technical claims with depth (AI/ML architecture, explainability, data governance) while also stress-testing go-to-market strategy, regulatory readiness, and whether a product is actually built for the customers it claims to serve. I%27ve done pre-sales technical reviews, built compliance addenda for regulated buyers, led competitive intelligence efforts, and pitched at international events like Slush & WebSummit.
Companies that would benefit most from my expertise:
Health tech and life sciences AI startups navigating the gap between a promising ML model and a product that regulated customers will actually procure
B2B SaaS companies selling into regulated industries (pharma, insurance, healthcare, financial services) who need help with enterprise readiness, compliance positioning, and surviving technical due diligence
European deep tech startups that need to turn EU regulatory frameworks (GDPR, EU AI Act, DORA) from obstacles into competitive advantages versus US competitors
Research-to-product spinouts bridging academic R&D and commercial viability — especially those struggling with pricing, positioning, or their first enterprise customers
Schahin Baki is an advisor and board member based in Germany, specialising in Pharmaceuticals. They speak English and German. They are open to advisory board and board director opportunities and are available for introductions through Boardio.
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