AI Infrastructure Engineer
Building production-grade memory systems for AI applications. Previously product design, now focused on the infrastructure layer that makes AI agents actually useful.
Solving the hard problems in AI memory: persistence, retrieval, and context management at scale. Currently building CognitiveDB — pluggable memory infrastructure for AI systems.
Core: Python, TypeScript, SQL
AI/ML: PyTorch, TensorFlow, Hugging Face, LangChain
Infrastructure: PostgreSQL, Redis, Qdrant, Pinecone, Docker, AWS
Data: Pandas, NumPy, Jupyter
- Wush — AI Powered Git Workflow.
- Kontext — Ultra-fast contextual memory for AI agents.
- Webu — Open source alternative to Lovable.
- Dazy — Terminal tool for Docker operations.
- Lebu — Terminal connection manager for SSH, databases, SFTP.
