Léa RABI

𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐟𝐨𝐫 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 At a leading telemedicine scale-up, I led the design of AI-driven features to support healthcare professionals during teleconsultations • Partnered closely with PM and Tech leads on product strategy to frame problems, define product bets, and align discovery outcomes with business, compliance and clinical goals • Applied a Discovery discipline to continuously explore user needs, validate assumptions, and de-risk solutions through research, prototyping, and experimentation • Enabled data decision-making, combining product metrics and qualitative insight to guide both short-term feature prioritization and longer-term product direction • Redesign the practitioner consultation flow for a more fluid experience, and a seamless integration of AI assistance — while ensuring clinicians always remain in control • Partnered with OpenAI and used Basalt for advanced prompt engineering 💡 Results - 90% of practitioners reported satisfaction, with more complete and higher-quality medical reports — enhancing patient follow-up and care continuity.

• Designed an RSE impact calculator to turn sustainability data into actionable, credible insights for sales teams’ postal offer decisions • Contributed to discovery-led improvements across B2C services and internal sales tools

Contributed to the design of a large-scale internal CRM used to manage interactions for 13M+ beneficiaries, working across multiple product areas in an agile environment, to improved operational efficiency, enabling faster adoption and smoother handling of beneficiary requests

Delivered end-to-end design contributions on diverse projects, from large-scale public platforms and consumer apps to internal business tools and early-stage MVPs, adapting to varying constraints, stakeholders, and timelines, within fast-paced agency contexts