- π Currently building Praxis β A durable, replayable, policy-governed runtime for multi-agent workflows.
- π± Learning and exploring:
- System Design
- DevOps & Docker
- AI/ML Integration
- WebRTC & Real-Time Architectures
- π‘ Interested in:
- Real-time collaboration systems
- Scalable backend architectures
- Developer tools
- AI-powered applications
- β‘ Love building products from idea β production
- π― Goal: Become highly skilled in Frontend, Backend, Web3, and AI/ML
Real-time collaborative coding and interview practice platform.
- Real-time collaborative Monaco editor
- Socket.IO live synchronization
- Role-based authentication
- Coding rooms & interview practice
- Question management system
- Live code execution
- Performance analytics
- Scalable MERN monorepo architecture
React TypeScript Node.js Express Socket.IO Prisma PostgreSQL Firebase
AI-powered memory and intelligent interaction platform.
- AI-assisted workflows
- Memory-based interaction systems
- Backend architecture experimentation
- Modern full-stack setup
- π₯ Advanced real-time collaboration features
- π³ Dockerized full-stack architecture
- βοΈ CI/CD pipelines
- βοΈ Production deployment workflows
- π§ AI integrations in web applications
- Kubernetes
- Microservices
- Distributed Systems
- Advanced System Design
- AI Engineering Workflows
- Contribute to impactful open-source projects
- Build developer tools
- Share knowledge and learning publicly
βGreat software is built through consistency, iteration, and curiosity.β
βοΈ From Ashutosh Kumar

