Hi, I'm Malavika.
I design thoughtful AI products for real-world problems. At Suki.ai, I shape AI-assisted experiences across clinical reasoning, documentation, and revenue cycle workflows. My work is focused on simplifying complex healthcare systems through research-driven design, ensuring critical information reaches clinicians when they need it most.
Previously, I spent time at SAP Labs designing enterprise complaint-handling systems, co-founded a non-profit education platform that won a global hackathon, and researched the psychology of browser delight at Microsoft Edge.
Outside the screen, I illustrate, do pottery, and read across genres. I hold a soft corner for slow brewed coffee, and the written word.
Building voice and ambient note tools used daily by physicians across the US. Work spans end-to-end product design across clinical reasoning, documentation, and revenue cycle workflows, in a domain where design quality has a direct effect on clinician wellbeing and retention.
Owned interaction design for the Complaint Handling Suite across a large cross-functional team. Translated complex business logic in discrete manufacturing into navigable, usable interfaces.
Proposed a framework for surfacing personalised browsing insights as delighters in the Edge browser. The project ran from early-stage literature review through concept testing with users, across themes of virality, privacy, and behavioural psychology.
Co-founded Train to Teach and led product design and management across a multidisciplinary team. Won the Global Goals Hackathon in 2021 and received £10,000 in seed funding to begin operations in Indore, India.
Researched, designed, illustrated, and produced 500 units of a card game for children aged 8–14, built around research by RS Bigler and LS Liben on multi-classification and gender stereotyping. Ran the social media campaign that followed, reaching over 22,000 people.