I build |
Android developer building at the intersection of mobile and AI. I ship apps, build agents, run models on-device, and write about whatever I'm learning. AI is moving too fast to not document it.
A small live demo comparing Google's DiffusionGemma against regular Gemma 4 head to head: paste a paragraph with a planted mistake, watch both models fix it live, and see exactly how many words each one actually touched.
Give it any GitHub repository URL. Three AI agents built on three different frameworks — Google ADK, LangGraph, and CrewAI — communicate with each other using the Agent-to-Agent (A2A) protocol to produce a complete developer onboarding kit: a plain-English guide, a data flow diagram, and the five files every new developer should read first.
Telegram bot powered by Google ADK 2.1 and Gemini 2.5 Flash that extracts your Reading DNA from books you love, then recommends your perfect next read with a match score, book cover, and follow-up options. Built with FastAPI, deployed on Google Cloud Run.
Full-stack web app that uses Gemini Embedding 2 to convert photos, PDFs, text files, and audio into 3,072-dimensional vectors, then searches across all of them by meaning. Type a sentence and find a photo, a text note, and a PDF on the same topic. Built with FastAPI, Next.js, and ChromaDB.
Android app powered by 4 AI agents, 3 running simultaneously in parallel, that researches any product across Google Shopping, Reddit, and YouTube, then synthesizes everything into one ranked recommendation with clickable links. Built on Google ADK and deployed to Vertex AI Agent Engine.
Android app that photographs recipes in 140+ languages and uses Gemma 4 via LiteRT-LM to translate and structure them into ingredients, steps, and cooking time. Everything runs on the phone with no internet needed.
Android module that kicks in after a crash is detected by another app. Uses a local Gemma LLM to assess driver injury through guided voice conversation and sends emergency SMS automatically if the driver stops responding.
Android PoC that generates professional FNOL (First Notice of Loss) insurance reports by combining simulated telematics data with real-time location, weather, and traffic context, processed on-device via MediaPipe Gemma.
Evolution of AIDrivingHelper that enriches driving events with real-world geographic context, including nearby schools, hospitals, road names, and traffic infrastructure, for location-aware safety coaching on Android.
Android module that uses RAG entirely on-device to answer natural language questions about past trips and deliver personalized driving coaching. Built to plug into apps that already record trip data, with voice input and voice output.
Every major AI model writes the same way: one word locked in before the next begins. Google's DiffusionGemma throws that rule out and writes an entire block at once instead. Here is how it actually works, in plain English, and what it costs you in return.
How A2A — the open standard already backed by AWS, Microsoft, Salesforce, and 150 more organizations — lets AI agents from any company, any framework, discover and work together over plain HTTP.
Google announced Managed Agents at Google I/O 2026. It lets you deploy a fully functional AI agent with a single API call, no servers to manage, no infrastructure to build. Here is what it is, how it works, and why it matters even if you have never written a line of code.
At Google I/O 2026, Google released ADK 2.0 with a graph-based execution engine and collaborative multi-agent workflows. Here is what changed, what it means, and why it matters even if you have never written an agent before.
Gemini Embedding 2 is Google's first AI model that converts text, images, audio, and PDFs into the same number space. I built MemoryVault to understand how it works and why it changes how we think about search.
Most AI demos show one agent answering one question. This is different. Three specialized agents fire simultaneously, a fourth synthesizes everything into one ranked answer, and an Android app calls the whole system live. Google ADK, Vertex AI, Cloud Run, Docker. The full picture.
How I used Gemma 4 E2B via LiteRT-LM in my Recipe Scanner app to translate and structure recipes in 140+ languages, entirely on the phone, and what I learned along the way.
My personal system for staying on top of the AI explosion as an Android developer, without spending all day on Twitter.
Every major AI model writes the same way: one word locked in before the next begins. Google's DiffusionGemma throws that rule out and writes an entire block at once instead. Here is how it actually works, in plain English, and what it costs you in return.
How A2A — the open standard already backed by AWS, Microsoft, Salesforce, and 150 more organizations — lets AI agents from any company, any framework, discover and work together over plain HTTP.
Google announced Managed Agents at Google I/O 2026. It lets you deploy a fully functional AI agent with a single API call, no servers to manage, no infrastructure to build. Here is what it is, how it works, and why it matters even if you have never written a line of code.
At Google I/O 2026, Google released ADK 2.0 with a graph-based execution engine and collaborative multi-agent workflows. Here is what changed, what it means, and why it matters even if you have never written an agent before.
Gemini Embedding 2 is Google's first AI model that converts text, images, audio, and PDFs into the same number space. I built MemoryVault to understand how it works and why it changes how we think about search.
Most AI demos show one agent answering one question. This is different. Three specialized agents fire simultaneously, a fourth synthesizes everything into one ranked answer, and an Android app calls the whole system live. Google ADK, Vertex AI, Cloud Run, Docker. The full picture.
How I used Gemma 4 E2B via LiteRT-LM in my Recipe Scanner app to translate and structure recipes in 140+ languages, entirely on the phone, and what I learned along the way.
My personal system for staying on top of the AI explosion as an Android developer, without spending all day on Twitter.
Open to interesting conversations, collaborations, or just talking about what's new in AI.