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.