I build AI products from zero to one, and I teach others how to do the same.Over 12+ years, I've taken AI/ML products from proof-of-concept to launch at Amazon, Nike, T-Mobile, and Disney. The work I love most is early-stage: validating ideas, getting executive greenlight, and shipping MVPs that prove value before scaling. At Nike, that approach drove a $100M annual reduction in product returns.I also teach what I build. I co-created and lead the AI Product Management Certificate at the University of Washington, where experienced PMs ship real GenAI products complete with evaluation plans and GTM strategies. Previously, I trained 4 cohorts at Product School.What I bring: the ability to translate messy AI capabilities into clear product value, align technical and business stakeholders, and move fast without breaking trust. I write about AI PM craft at aipmguru.substack.com.I'm currently exploring opportunities to lead 0→1 AI product work at companies solving meaningful problems. I'm especially energized by AI in healthcare and education, though I'm open to any domain where the product can genuinely improve lives. 

Shaili Guru

Applied AI | Building with LLMs, RAG & LangChain | From Data Analytics to AI Architecture | Currently working on real-world GenAI use cases. Let’s connect if you're building AI products, LLM infra, or tools for devs.

I help businesses turn Al into real, measurable outcomes without unnecessary complexity. From solution strategies that scale to implementing practical Al solutions, my goal is to make Al actionable, human-centred and impactful.

With over 8+ years of experience in data analytics, AI product strategy, AI Automation, and customer success, I've helped companies across healthcare, SaaS, and enterprise optimise AI adoption, enhance decision-making, and deliver business results.

I specialise in:

➡️Al Product Strategy & Roadmaps: Designing and executing scalable Al solutions
➡️Customer Success Architecture: Enabling enterprise adoption and driving business impact
➡️Generative Al & Al Ops: Optimising Al systems for reliability and performance
➡️Data-Driven Insights: SQL, Python, cloud technologies (IBM, GCP, AWS) to build actionable solutions
➡️Bridging Tech & Business: Translating technical Al into measurable outcomes

Few Highlights:

➡️Led anomaly detection project with AI/ML integration at DecisionHUB
➡️Built automated SQL + Python pipelines for Al-driven insights
➡️Developed customer engagement dashboards that influenced product roadmaps
➡️Designed a Therapeutic Al voice agent

I also host the Lattency and Latte podcast, inviting guests to discuss Al, technology, and emerging trends, making complex topics practical and human-centred.

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Shaili Guru

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