{03} — Projects

AI Systems & Technical Projects

Research → Product

{ FEATURED }

Omniscite

Neural Agent Orchestration for SEO

A multi-layer AI agent pipeline that automates the entire SEO workflow — from research and competitor analysis to content creation, technical audits, and reporting. 100+ specialized agents organized across neural network-inspired layers work in concert to deliver autonomous, end-to-end search optimization at enterprise scale.

Research LayerCompetitor LayerSEO LayerContent LayerTechnical LayerAnalytics Layer
AI AgentsNeural NetsA2A ProtocolMCPPythonRAGLLM Orchestration
{01}

Knowledge Graph Engine

Built an enterprise knowledge graph system that maps entity relationships across millions of pages — powering topical authority analysis, content gap detection, and semantic SEO recommendations using graph embeddings and ontology design.

Knowledge GraphsEntity ResolutionGraph EmbeddingsOntologyPython
{02}

Context Graph for Solutions

Interactive context graph visualization mapping solution domains and their capabilities into an explorable network — enabling clients to navigate interconnected service offerings and discover relevant expertise through visual exploration.

Context GraphsD3/SVGReactData VisualizationUX
{03}

MCP Server Integrations

Built Model Context Protocol server integrations enabling AI agents to interact with enterprise search tools, crawl data, and analytics platforms in real-time.

MCPAI AgentsPythonAPI Design
{04}

A2A Agent Pipelines

Developed Agent-to-Agent communication pipelines allowing autonomous AI workflows for content optimization, technical audits, and competitive analysis.

A2A ProtocolMulti-AgentOrchestration
{05}

Claude Code Pipelines

Implemented Claude Code-powered development pipelines for automated SEO tooling, data transformations, and report generation at enterprise scale.

ClaudeAutomationCode Generation
{06}

RAG Search Engine

Built a Retrieval-Augmented Generation engine for internal knowledge bases, enabling natural language querying of SEO documentation and performance data.

RAGVector DBLLMSearch
{07}

Enterprise Topic Clustering

Python-based NLP system for automated topic clustering across 50M+ pages, generating content gap analysis and internal linking recommendations.

NLPPythonClusteringBigQuery
{08}

Automated Crawl Intelligence

Real-time crawl monitoring and indexation system integrating Screaming Frog, Botify, and ContentKing data into unified dashboards.

Crawl OpsAutomationData Pipelines
{09}

Schema Markup at Scale

Programmatic schema markup generation and validation system deployed across millions of pages, improving rich result visibility by 35%.

Schema.orgJSON-LDStructured Data
{10}

SEO Data Lake & Analytics

Built comprehensive SEO data lake in BigQuery with Looker Studio dashboards for real-time organic performance tracking and anomaly detection.

BigQueryLookerAnalyticsSQL