Writing / An open engineering notebook
Notes from
the work.
What I am building, what I am learning, and the questions that deserve a closer look. Notes on data systems, machine learning, and the decisions behind reliable software.
A record of the process: experiments, architecture, lessons, and ideas worth returning to.
Follow the learning journal- 47
- published articles
- 5
- topics
- 249
- minutes of reading
- Systems
- AI Systems
- AI & ML
- Backend
- DevOps
Since June 2024
What I write about
Topics & themes.
Field notes from building production AI and data systems — the ideas, trade-offs, and hard-won details behind the work.
Retrieval & RAG
Evidence-grade retrieval, corrective RAG, citation gates, and why atoms beat chunks.
LLM Engineering & Agents
Multi-agent pipelines over MCP, model routing, grounding, and shipping agents that don't freelance.
Data Engineering
Pipelines, warehouses, and moving real weight — Spark, Kafka, pgvector, and provenance at scale.
Systems & Rust
Rust engines, distributed systems, determinism, and building software that holds up under load.
Security & Trust
Cryptographic inventory, tamper-evident audit, zero-trust IAM, and provenance you can replay.
Cloud & Defense Tech
AWS GovCloud architecture, FedRAMP posture, and engineering for mission-critical environments.
All articles
The archive.
Featured essays first, followed by the chronological archive. Dates shown are each article’s archive dates.
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