Harsh Shah

I’m a product-oriented AI engineer and technologist with 8+ years of experience across engineering, growth, and applied machine learning. My focus is building real-world AI systems—from data-driven automation to agent-based platforms that solve practical, high-impact problems. At Ritual, I led AI growth initiatives, developing generative tools for sales content automation, compliance workflows, and agentic ordering experiences across restaurants and brands. I’ve also worked on early-stage innovation in document automation and claims processing, designing agentic workflows powered by LLMs and orchestration layers. Most recently, I made GlucoSnap, a free mobile application (that utilizes AI to analyze photos of meals) designed to help people with diabetes, particularly those with Type 1 diabetes, manage their carbohydrate intake and insulin doseage. It’s part of DiabetaTech, a broader initiative I launched to build life-saving tools and wearables for people with Type 1 diabetes—born out of my own diagnosis and advocacy journey. Earlier, I created SkinCheckUp, a CV-based skin health tool recognized at Collision 2023 for enabling low-cost early detection. Currently exploring AI product and platform roles—especially where agentic systems, automation, and user experience converge. I’d love to connect, feel free to book an Apple Juice Chat (my version of a coffee chat) here: diabeta.tech/apple-juice-chat.