A collection of anecdotal insights from exploring both commericial and open-source frameworks for Data Science and MLOps
Focus areas
- LLM Systems — Word Representations, Agentic Systems
- ML Engineering — Reproducible Pipelines, and Deployment.
- Analytics - Insights derived from data and ML approaches.
Have a look around
- Projects — deep-dive notebooks with code and narrative.
- Dashboards — interactive views and metrics.