ShinuAI Labs is an AI engineering and experimentation ecosystem focused on building next-generation intelligent workflows, autonomous systems, browser AI tools, and AI-augmented engineering concepts.
- Agentic AI Systems
- Autonomous QA Platforms
- Browser AI Assistants
- Multi-Agent Workflows
- Hybrid Local + Cloud AI Architectures
- AI Workflow Orchestration
- Intelligent Automation Systems
- AI-Augmented Engineering
Current explorations include:
- AI-powered browser assistants
- CrewAI multi-agent orchestration
- Autonomous testing workflows
- AI blogging agents
- AI learning engines
- Local LLM + Cloud LLM routing
- Workflow automation ecosystems
- OpenAI
- Ollama
- CrewAI
- LangChain
- RAG Pipelines
- MCP
- Python
- JavaScript
- Selenium
- API Automation
- Docker
- GitHub Actions
AI-powered browser assistant integrating local and cloud LLM workflows for intelligent in-browser productivity.
Experimental orchestration environment for autonomous multi-agent collaboration systems.
AI-assisted research and knowledge mastery workflow platform.
Exploring AI-driven quality engineering, intelligent testing workflows, and autonomous execution systems.
🔗Website: https://shinuailabs.com
🔗 Portfolio Website: https://shinojnarayan-portfolio.lovable.app/
Created and maintained by Shinoj Narayan.
Professional profile: https://github.com/shinulearning
Building AI-augmented systems that move beyond traditional automation toward intelligent autonomous workflows.