Building muse — a private multi-model AI tool
Why I built muse: a BYOK AI tool that queries multiple LLMs, synthesizes one answer with a trust score, and runs on-device via MLX. Now with an iOS app.
Writing about data engineering, AI, and things I'm building
Why I built muse: a BYOK AI tool that queries multiple LLMs, synthesizes one answer with a trust score, and runs on-device via MLX. Now with an iOS app.
How I built a streaming data pipeline using Scala 3 and Scala 2.13 together — with Kafka, Flink, Spark, and ZIO orchestration.
How I built a working knowledge graph of my own work in Obsidian using Andrej Karpathy's LLM Wiki approach.
Auto-index your .pptx files into a single agents.md that any AI can read. Drop a file in the folder, agents.md updates automatically. Ask Claude or a local Ollama model anything across all your decks.
A terminal-native AI text assistant powered by Ollama. No API key, no cloud — runs entirely on your machine with clipboard, pipe, and interactive TUI modes.
How to improve compression and query performance for high-cardinality timestamp columns in Apache Spark by switching from INT96 to INT64 encoding
.. and stop crushing it!
Adapting to changing data...
unit testing the data...
In typical data engineering tasks, we often work with procedural style code for data transformations