§ Gade Harish Reddy — folio 2026
Problem-solvingis mymoat.AI just came in handy.
Senior Product Designer with five years across SaaS, e-commerce, healthcare, and fintech. I design AI products and build with AI in the loop — but reading the problem clearly is the part AI hasn't replaced. Moving to Canada in 2026.
§ 02 — Selected work, 2026
Four case studies on the AI-design problem.
Each piece ships with the framing problem, the design moves I made, and an interactive prototype on this page — not a Figma link.
- I.Career-tech · Consumer mobile
Atsly
Know your score before the ATS does
A mobile-first resume copilot for international job seekers. Explainable ATS scores, country-specific market-fit analysis, and a human-in-control AI rewrite — every point accounted for.
Read case study - II.Native macOS · Privacy-first AI
FlyOnTheWall
AI meeting notes that never leave your Mac
A privacy-first, BYOK meeting assistant for macOS. Shipped to the Mac App Store in 2025 — competing with $1.5B unicorns by refusing to send your audio to the cloud.
Read case study
§ 03 — Operating principles
A practice, not a pose.
Five years shipping production UX across e-commerce, B2B SaaS, healthcare, and stock analysis taught me to design for the user, not the demo. Here's how I think.
→ Full bio- I.
AI for humans, not at them.
Every interface decision starts from the person on the other end of the screen. Models are means; outcomes are ends.
- II.
Make the model legible.
Confidence, sources, and reasoning aren't UI garnish — they're how trust gets built one interaction at a time.
- III.
Design for the override.
Every automated action needs a path back to human judgement. The best AI products feel like power steering, not autopilot.