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AI & ServiceNow engineering projects

A closer look at the systems I build: multi-agent orchestration, enterprise integrations, retrieval pipelines, and tools for practical AI delivery.

Autonomous Software Delivery workflow: Issues → LangGraph agents → Code + tests → AI evaluation → Reviewed PR. Agent orchestration · Test-backed evaluation · Human review.

Multi-Agent

Autonomous Software Delivery

Built an agentic delivery system that turns production issues into competing fixes, tested pull requests, and reviewed releases.

Architect & Engineer · LangGraph, Azure AI Foundry, Gitea, GlitchTip, Python

Enterprise AI Assistant workflow: Question → Specialist agents → Scoped RAG → Citation review → Cited answer. LangGraph · Claude Agent SDK · Source grounding.

ServiceNow · Multi-Agent

Enterprise AI Assistant

Built a specialist AI assistant across 40,000+ ServiceNow documentation pages and cut per-request cost from about $2.19 to $0.04–$0.06.

Architect & Engineer · LangGraph, Claude Agent SDK, Azure AI Foundry, Redis, MCP

Enterprise Knowledge Platform workflow: Sources → Embeddings → Qdrant vectors → Scoped RAG → Cited answers. Vector search · Retrieval-augmented generation.

AI/ML

Enterprise Knowledge Platform

Built an enterprise knowledge workspace with six ingestion pipelines and 226,142+ indexed chunks across four sources, powered by Qdrant.

Architect & Engineer · Open WebUI, Qdrant, Azure AI Foundry, Python, PostgreSQL

ServiceNow Service Modeling workflow: Incident data → Domain agents → Service synthesis → Service model. Agentic analysis · ServiceNow CSDM.

ServiceNow · Multi-Agent

ServiceNow Service Modeling

Built a multi-agent system that turns ServiceNow incident history into a CSDM service model and a 13-section report.

Architect & Engineer · Python, Azure AI Foundry, ServiceNow, CSDM

Security Review Agents workflow: Source code → Static scans → AI reviewers → Finding review → Security report. Specialist agents · Evidence-grounded review.

Multi-Agent

Security Review Agents

Combined seven scanning tools with eight specialist AI reviewers to investigate security findings and filter noise before issues reach engineers.

Architect & Engineer · LangGraph, Python, Semgrep, Bandit, GitHub

Meeting-to-Backlog Planner workflow: Transcripts → AI extraction → Decision synthesis → Story agents → Prioritized backlog. LangGraph · Structured generation · Delivery planning.

Multi-Agent

Meeting-to-Backlog Planner

Built a planning pipeline that turns meeting decisions into prioritized delivery stories, refining 350 proposals to 215 across ten transcripts.

Architect & Engineer · LangGraph, Python, Azure AI Foundry, ServiceNow

AI Product Scorecard workflow: AI usage + costs → Cost + usage analytics → Product scorecard. AI observability · Cost attribution · Evidence labels.

AI/ML

AI Product Scorecard

Built a leadership scorecard that connects AI adoption, model spend, infrastructure cost, and modeled value so leaders can decide where to invest.

Architect & Engineer · Python, React, Azure Cost Management, Recharts

MAS Agents Research 1.0 workflow: Research question → Planner agent → Research agents → AI validation → Research report. Multi-agent orchestration · ChromaDB memory.

Multi-Agent · AI/ML

MAS Agents Research 1.0

Cyberpunk-themed dual-mode research orchestration system using specialized AI models for deep-dive analysis and map-reduce synthesis.

Architect · LangGraph, ChromaDB, Python, DeepSeek, Llama 3.3

MAS Agents Code workflow: Coding task → LangGraph orchestration → Parallel code agents → AI consensus → Code output. Multi-agent coding · Tool use · Evaluation.

Multi-Agent · AI/ML

MAS Agents Code

Autonomous coding platform featuring a 7-agent ensemble with true parallel execution and consensus-based conflict resolution.

Lead Engineer · LangGraph, Docker, Python, Claude 3.5, Gemini

ServiceNow Expert Agent workflow: Request → Domain agents → ChromaDB memory → ServiceNow tools. LangGraph · MCP integration · Session continuity.

ServiceNow · Multi-Agent

ServiceNow Expert Agent

Production-grade multi-agent system managing 12 ServiceNow domains with circuit breakers, checkpointing, and tenant isolation.

Principal Engineer · ServiceNow, LangGraph, PostgreSQL, MCP, Python

Montana Video workflow: Video → AI transcription → Vector index → Hybrid retrieval → Search results. Multimodal processing · Embeddings · Reranking.

AI/ML · Distributed Systems

Montana Video

Government relations platform processing legislative video with multi-modal analysis, diarization, and vector search.

Lead Developer · Google Cloud Run, Vertex AI, Firebase, Next.js

Guestlists Miami workflow: Guest request → AI concierge → Scoped tools → Guestlist + CRM. Conversational AI · Tool calling · Role-based access.

AI/ML · Distributed Systems

Guestlists Miami

VIP nightlife management system with a public-facing AI concierge, enforcing strict write-only security models.

Full Stack Developer · Firebase, Gemini Flash, React, Node.js

Reddit Email Digest workflow: Reddit posts → LLM synthesis → Semantic dedup → Email digest. LangGraph · Structured outputs · Semantic processing.

Multi-Agent

Reddit Email Digest

LangGraph pipeline synthesizing daily and weekly Reddit newsletters using dual-model abstraction and structured parsing.

Developer · LangGraph, DeepSeek, Pydantic, Python

Auto Job Applier workflow: Job listing → AI interpretation → Browser tools → Application form. LLM adapters · Browser automation · Fallback handling.

Distributed Systems · AI/ML

Auto Job Applier

Resilient Selenium-based bot with pluggable AI adapters (DeepSeek, OpenAI, Gemini) for automated job applications.

Developer · Selenium, Python, DeepSeek, Gemini

Project DREA workflow: Text, voice + images → Multimodal AI → Vertex AI Search → Grounded guidance. Speech · OCR · Knowledge-grounded assistance.

AI/ML

Project DREA

Privacy-first emotional intelligence platform using Vertex AI RAG to analyze relationship dynamics and detect manipulation patterns.

Lead Engineer · Vertex AI, Firebase, TypeScript, Google Cloud

Pocket Officer workflow: Officer question → Vertex AI Search → Gemini enrichment → Grounded answer. Retrieval grounding · Multi-pass AI enrichment.

AI/ML

Pocket Officer

Real-time Florida statute violation identifier using Vertex AI Search grounding and structured output validation.

Developer · Vertex AI Search, Next.js, Python, Stripe

Semantic Deduplication workflow: Input text → Semantic matching → Graph clustering → ChromaDB store → Deduplicated text. Vector persistence · Similarity analysis · Token efficiency.

AI/ML

Semantic Deduplication

CPU-optimized semantic clustering engine achieving ~34% token reduction for RAG pipelines via SimHash and graph clustering.

R&D · Python, NetworkX, ChromaDB, SentenceTransformers

YouTube Deep Dive workflow: Transcript → LLM analysis → Structured generation → Learning notes. Full-context analysis · Knowledge extraction.

AI/ML

YouTube Deep Dive

Precision analysis tool for technical presentations, extracting deep architectural patterns from video transcripts.

Developer · LangChain, DeepSeek, Python

Raggity Chat POC workflow: Files → Vector indexing → Retrieval tools → AI assistant → Grounded chat. OpenAI Assistants · Vector store · Persistent threads.

AI/ML

Raggity Chat POC

Workspace utilizing OpenAI Assistants API with file_search and Google Drive integration for collaborative RAG.

Developer · React, Express, OpenAI API, Google Drive API

CourtListener MCP workflow: AI agent → MCP tools → Legal sources. CourtListener API · Structured tool access.

Distributed Systems

CourtListener MCP

Specialized MCP server for querying legal opinions and filings via the CourtListener API.

Author · MCP, Python, CourtListener API