Building scalable web infrastructure, integrating LLMs, and designing reliable AI-powered systems.
I don’t just write code — I design systems.
My work focuses on building scalable backend infrastructure, integrating LLMs into real products, and creating open-source tools developers can rely on.
I believe in:
- Building in public
- Prioritizing reliability over hype
- Treating AI as infrastructure, not a feature
- 🚀 Creator of MLCore, a self-hosted machine learning platform
- 🧠 Designed production-ready RAG pipelines with vector databases
- 🏗 Built multiple developer tools and backend frameworks
- ⚡ Experienced in real-time systems and distributed architectures
- 🔓 Active open-source maintainer
MLCore is a self-hosted machine learning platform designed to make experimentation, training, and deployment seamless.
- Upload and manage datasets
- Data wrangling & preprocessing
- Train ML models
- Run predictions via APIs
- Export trained models
- Monitor workflows from a unified dashboard
- FastAPI backend
- Async task workflows
- Dataset & experiment tracking
- Containerized deployment
- Modular training pipeline
🔗 https://github.com/Amanbig/MLCore
| Layer | Technologies |
|---|---|
| Languages |    |
| Frontend |    |
| Backend & APIs |     |
| Datastores |     |
| AI Systems |     |
| Infra & DevOps |     |
Maintainer · ML Infrastructure
Self-hosted ML platform for end-to-end workflows.
🔗 https://github.com/Amanbig/MLCore
Maintainer · Backend Framework
Developer-first framework for building scalable APIs.
🔗 https://github.com/Amanbig/runapi
Real-time messaging system exploring scalable communication patterns.
🔗 https://github.com/Amanbig/chatme
- Advanced RAG architectures with reranking
- Multimodal and agentic systems
- Low-latency real-time infrastructure
- ML infrastructure tooling
- Prefer simple, observable systems over complex abstractions
- Build with scalability in mind from day one
- Focus on developer experience
- Measure performance, don’t assume it
I welcome contributors and collaborators interested in:
- ML infrastructure
- Backend systems
- Developer tooling
- Open-source platforms
Feel free to open an issue or reach out.
💡 Always open to collaborations, mentorship, and ambitious AI projects.