Engineering & Curiosity Field Notes
A technical notebook of architectures, implementation mechanics, and deep dives across AI agent orchestration, Cloudflare edge systems, GraphRAG, regulated life sciences software, and local inference.
Curiosity Domains
View all topics →AI Agents & Orchestration
2 notesMulti-agent consensus, evaluation harnesses, tool calling, and MCP.
Cloudflare & Edge Systems
1 noteWorkers, Durable Objects, edge state, and zero-cold-start compute.
GraphRAG & Hybrid Retrieval
1 noteKnowledge graphs, vector embeddings, Qdrant, and rerankers.
Regulated AI & GxP Compliance
1 noteValidating probabilistic models, 21 CFR Part 11, CSA, and ISO 42001.
Laboratory & Bio Systems
2 notesLIMS, ELN, instrument connectivity, and automated bio-pipelines.
Local LLMs & Systems Engineering
1 noteQuantization, multi-token prediction (MTP), and low-latency inference.
Featured Deep Dives
All Notes & Explorations (8)
The Curiosity Manifesto
Modern technology evolves at the intersection of disciplines: when distributed systems meeting AI agent orchestration, or when rigid regulatory standards meet probabilistic language models. Saram Learn is an ongoing commitment to rigorous exploration: verifying claims through code, profiling edge runtimes, and documenting what actually works in production.