name: Tushar Rai
located_in: India 🇮🇳
company: Trai Inc.
role: Forward Deployed Engineer / AI Engineer
expertise:
- Multi-Agent Orchestration & Agentic Systems (LangGraph, Microsoft AutoGen, CrewAI)
- Enterprise RAG Pipelines & Vector Search (Vectorize, custom embeddings)
- Multi-LLM Integration (Claude, Gemini, GPT)
- Workflow Automation & Data Integration (Zapier, Make.com, Activepieces)
- Cross-Platform Mobile Apps (Flutter/Dart)
- Cloud & Edge Architecture (Cloudflare Workers, Google Cloud, Azure)
- Data Layer (Turso, Cloudflare D1, PostgreSQL, MongoDB Atlas, Firebase Firestore)
currently:
- 🔭 Embedding directly with enterprise clients to scope, build, and deploy AI-native systems
- 🤖 Building multi-agent and RAG pipelines with LangGraph, AutoGen, and CrewAI
- 🎙️ Building a voice AI pipeline targeting sub-500ms latency and low blended cost per minute
- 🌱 Exploring agent orchestration frameworks & Dart macros
- 💬 Ask me about AI agents, RAG, LLM integration, or Flutter
fun_fact: "I debug in my dreams 🛌💻"What I actually build — not just tools I know, but the systems I put into production for clients.
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🕸️ Multi-Agent Systems Design and orchestrate autonomous agent pipelines using LangGraph, Microsoft AutoGen, and CrewAI — agents that plan, call tools, and hand off work to each other to complete multi-step business processes end-to-end, not just single-shot prompts. 🔍 Enterprise RAG & Semantic Search Build retrieval-augmented generation pipelines with custom vector embeddings and hybrid retrieval, so answers are grounded in a client's own proprietary data instead of the model guessing. |
⚙️ Workflow Automation Wire up Zapier, Make.com, and Activepieces to remove manual, repetitive steps from real business operations — the unglamorous but high-leverage automation that actually saves hours every week. 🧠 Multi-LLM Integration Route across Claude, Gemini, and GPT depending on task, cost, and latency — with prompt compression and context optimization to keep production inference fast and affordable. |
🎙️ In Progress: Voice AI pipeline targeting sub-500ms end-to-end latency and blended inference + telephony cost under $0.03/min.
📋 Detailed Breakdown
| Category | Technologies |
|---|---|
| AI / Agentic |        |
| Workflow Automation |    |
| Mobile |       |
| State Mgmt |     |
| Cloud & Data |        |
| DevOps |     |
| Design |    |
💡 Building out public repos for agent/RAG work — check back soon, or ask me directly about recent client engagements.
| Service | Description | |
|---|---|---|
| 🤖 | AI-Native Systems | Multi-agent orchestration, RAG pipelines, and multi-LLM integration for enterprise clients |
| 🔌 | Agent & Workflow Automation | LangGraph/AutoGen/CrewAI agent builds, Zapier/Make/Activepieces automation |
| 📱 | Flutter App Development | End-to-end cross-platform apps for iOS & Android |
| 🎨 | UI/UX Implementation | Pixel-perfect Figma-to-Flutter conversions |
| ☁️ | Cloud & Backend Architecture | Cloudflare Workers, Turso/D1, Firebase, Supabase, PostgreSQL |
| 🚀 | App Store Deployment | CI/CD pipelines, Play Store & App Store publishing |
| 📋 | Consulting & Reviews | Architecture reviews, performance audits, best practices |
✨ "Code is like poetry — it should be beautiful, functional, and tell a story." ✨
Crafted with ❤️ by Tushar Rai • Trai Inc.