All activity

Peer-reviewer for International Conference on Machine Learning

Peer reviewer for the Agents in the Wild (AIWILD) workshop at ICML 2026.

How RAG Reads a Corpus

Fixed-size, structure-aware, sentence-window, parent-document, summary indexing, RAPTOR, and late chunking, each with its own analogy and visualizer.

The indexing axis of RAG: why chunking is the quiet make-or-break decision, and the ladder of strategies, each with an everyday analogy and interactive visualizer: fixed-size chunks, structure-aware splitting, sentence-window retrieval, parent-document (small-to-big), summary indexing, RAPTOR's hierarchical tree, and contextual and late chunking. How to decouple the unit you search from the unit you read.

• RAG

How RAG Finds Things

Sparse, dense, hybrid, learned-sparse, late interaction, re-ranking, and contextual retrieval, each with its own analogy and its own visualizer.

The retrieval axis of RAG, method by method: sparse keyword search (BM25), dense embeddings, learned-sparse (SPLADE), late interaction (ColBERT), hybrid fusion with RRF, cross-encoder re-ranking, and contextual retrieval. Each gets an everyday analogy, the real definition, and its own interactive visualizer. How each decides what counts as a match, a worked reciprocal-rank-fusion example, and why real systems combine several.

• RAG

A Field Guide to RAG

RAG is not one technique. It is a design space, and this is the map of it.

Retrieval-augmented generation started as a single idea and turned into a whole family of designs. This is the opening map: naive RAG, the advanced pre- and post-retrieval tricks, the modular mindset, and the five axes every variant moves along. It anchors a five-part series that walks every kind of RAG.

• RAG

Self-Healing Agentic Ops Gateway

An incident-remediation agent behind a security envelope

A self-healing microservices agent that reasons over telemetry, deploy history, and logs via MCP and remediates production incidents behind an RBAC, ACL, OAuth, and human-approval envelope.

• Java 21
• MCP
• Kubernetes
• Prometheus

• AI Agent Harness
• LLM Ops & Eval

Peer-reviewer for ACM CAIS 2026

Peer reviewer for the First Workshop on Agent Skills at ACM CAIS 2026.

Judging at Nozomio Hackathon

Judged the Nozomio Hackathon at Entrepreneurs First (San Francisco).

Peer-reviewer for ACM CAIS 2026

Artifact evaluator for the ACM Conference on AI and Agentic Systems (CAIS) 2026.

IEEE Senior Member

Elevated to Senior Member grade of the IEEE for significant contributions to the profession.

Judging at AI Agents Hackathon #31

Judged AI Agents Hackathon #31, a virtual AI agents hackathon.