From a Commerce graduate to an International Hackathon Winner, I build multi-agent AI systems, RAG applications, and resilient GenAI infrastructure with a focus on practical engineering and real-world deployment.
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🧠 AI Systems: Building multi-agent workflows, LLM-powered applications, RAG pipelines, and tool-using AI systems.
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⚙️ Engineering: Working primarily with Python, Next.js, TypeScript, REST APIs, and modular application architectures.
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☁️ Cloud & Deployment: Hands-on with Google Cloud, Vertex AI, Cloud Run, Vercel, Docker, and serverless deployment.
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🎯 Approach: Turning complex workflows into reliable, practical AI systems with a strong focus on resilience, automation, and deployment.
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🚀 Current Focus: Building resilient AI infrastructure and autonomous GenAI products, including rdai, TryNext AI, and the ChayRa AI ecosystem.
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🌐 Official Website: ranajitdhar.in
💻 Languages & Core
🧠 AI, LLMs & Agents
🛠️ Frameworks & Tools
☁️ Cloud & DevOps
🗄️ Databases & Storage
🤖 Agentic AI: Multi-Agent Orchestration • Tool Calling • Reasoning & Planning • Autonomous Workflows
🧠 GenAI Core: LLMs (Gemini, Llama, Qwen) • Multimodal RAG • Prompt Engineering • NLP & Text Analysis
⚙️ Engineering: Serverless Architecture • REST APIs • OTP Security • Scalable Web Deployment
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Created & Engineered by Ranajit Dhar · Official Website
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rdai is a resilient, provider-agnostic Python AI orchestration SDK designed to make AI applications survive provider failures. It gives developers one unified interface for multiple AI engines, intelligently routes requests, continuously tracks provider availability, and automatically fails over to the next healthy brain when a model hits a timeout, rate limit, or runtime failure. ✨ Core Architectural Capabilities:
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Created & Engineered by Ranajit Dhar · Official Website |
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ChayRa AI is not just a chatbot. It is an autonomous, hyper-local crisis response swarm. We are building the ultimate digital safety net for zero-hour emergencies, turning panicked, multilingual voice commands into coordinated survival intelligence. ✨ Core Architectural Capabilities:
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Created & Engineered by Ranajit Dhar · Official Website |
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An Autonomous, Self-Healing Software Factory built for the "Next Billion Users." It completely eliminates the coding barrier by transforming natural voice commands (across 100+ local languages) into production-ready, full-stack Next.js applications natively deployed to the Vercel Edge. ✨ Core Architectural Capabilities:
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Created & Engineered by Ranajit Dhar · Official Website |
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A Self-Healing, Multi-Agent AI Ecosystem engineered for enterprise scale. Features native DevSecOps via GitLab Duo for dynamic code review and a 3-tier Auto-Failover Circuit Breaker to ensure zero-downtime. ✨ 2026 Architect Capabilities:
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Created & Engineered by Ranajit Dhar · Official Website |
A Quantum-Ready, Self-Healing, Multi-Brain AI Operating System. It detects failures (429/5xx) and auto-switches models (Gemini → Llama → Qwen) to ensure 100% uptime. ✨ Key Capabilities:
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An Autonomous Physical Agent that bridges Generative AI with Smart Home Hardware (Tuya Cloud). It evaluates creativity to control studio lighting. ✨ Agent Workflow:
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Created & Engineered by Ranajit Dhar · Official Website |
Created & Engineered by Ranajit Dhar · Official Website |
A next-gen assistant combining Deep Research, Real-time Data, and Secure Auth. It provides grounded answers, not just text. ✨ Key Features:
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An Autonomous Multi-Agent Pipeline that handles the entire workflow: Plan → Create → Validate without human intervention. ✨ Agent Architecture:
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Created & Engineered by Ranajit Dhar · Official Website |
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Achievement: 👑 Theme-Based Award Winner for architecting a highly resilient AI workforce.
Project: YES AI MASTER (Analyst Mode) — Real-time data synthesis and gitlab integration. -
Achievement: 🏅 Top 100 Finalist Award.
Project: TryNext AI — The Self-Healing Software Factory. -
Achievement: 🌟 Advanced past the technical viability stage, standing out among 35,000+ participants and 4,500+ global project submissions.
Project: YES AI MASTER EDITION — Leveraged Gemini 3.0 Pro's 2M context window for a self-healing OS. -
Achievement: 🎯 Advanced to the Final Round.
Project: YES AI Studio (IoT Edition) — Developed an autonomous AI workflow for smart hardware orchestration.
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Google Cloud & Hack2Skill (Aug 2025)
Mastered Vertex AI, Gemini APIs, Imagen & Multimodal RAG to build scalable GenAI apps. -
Kaggle & Google (Dec 2025)
Built Autonomous Agents with advanced tool-use & orchestration strategies.
Gained practical experience across Vertex AI, Generative AI APIs, Cloud Run, and Streamlit deployments through consistent challenges.
- Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Skill Badge
- Build Real World AI Applications with Gemini and Imagen Skill Badge
- Develop GenAI Apps with Gemini and Streamlit Skill Badge
- Explore Generative AI with the Vertex AI Gemini API Skill Badge
- Prompt Design in Vertex AI Skill Badge









