The AI Contract Runtime

A muti-agent Dnd DM that directs you to dive into a fantasy world!

Structure-first pipeline that transforms GitHub repositories into question-indexed, graph-grounded semantic assets for code search, Graph-RAG, and LLM-based reasoning.

AI-Powered Ad Campaign Orchestration Platform

PromptGuard is a pragmatic, opinionated framework for establishing continuous integration for LLM behavior. It operates on a simple, verifiable principle: run the same prompts across multiple model configurations, compare outputs against defined expectations, and flag semantic regressions.

IntelliMesh AI is an **agentic decision system** designed for enterprise AI architectures—integrating **decision intelligence**, **multi-agent orchestration**, and **document intelligence pipelines** into a unified execution layer.

Automatically extracts, validates, and structures invoice data from images and PDFs using OCR + a local LLM—eliminating manual data entry.

Documentation and design artifacts for Channel AI (Formerly New Dhatu), a multi-agent conversational analytics system.

A systems-first implementation of agent control: explicit retrieval decisions, planner–executor separation, and auditable memory as core architectural mechanisms.

Decision → Agent → Context → Evaluation → Trust — a structured view of enterprise AI system design and execution layers.

Patent microsite for long-context inference orchestration using per-region attention and residency control, predictive prefetch, reversible demotion, and coherence-veto protection.

Not a hype showcase. Just solid AI workflows, prompt structures, and automation systems I build, use, and improve. Hands-on. No fluff.

Research-grade neuro-symbolic RAG framework where retrieval is a policy, not a vector search, built for evaluation, ablation, and reliability analysis.

A conservative, agentic RAG system with evidence-bounded synthesis, citation enforcement, and zero hallucination tolerance.

Production-grade Retrieval-Augmented Generation (RAG) system for evidence-grounded equity research over SEC filings and live market news.

Portfolio site — React + TypeScript + Vite.

Failure-first analysis of retrieval-augmented and agentic systems, focused on isolating and attributing failures across retrieval, planning, execution, memory, and policy layers.

GitHub profile

A systems-level analysis of static RAG pipelines, isolating ingestion, retrieval, and ranking boundaries to expose structural failure modes before generation.