I've spent a decade building Android apps, from architecture to performance. Before that I was the kid flashing custom ROMs: modded Symbian at 15, ported Android builds across devices on 4PDA before I ever wrote production code. Since then I've led a team of 7, went freelance, made it to top 1% on Upwork with 100% job success.
Now I work on the two questions behind every AI feature: what does it cost per user, and where does the data go? Cloud inference is a bill that grows exactly when your app succeeds. And for health, fintech, anything with GDPR in the room, the data question decides whether the feature ships at all.
My answer is on-device first. Gemini Nano, Gemma, Whisper, hybrid on-device + cloud setups: I test them on real devices, benchmark what actually works, and publish everything. Not theory. Real code, real numbers.
Based in Lisbon.