Agentic AI & Delivery
Build agents that investigate issues, use tools, and prepare tested changes for review.
- Multi-agent architecture
- Autonomous development workflows
- Evaluation and release controls
My Intro
About Me
I’m Fernando Rivero, an enterprise technology leader and hands-on AI engineer based in Miami. I build the systems behind the strategy.
I’ve built agents that write and test code, search enterprise knowledge, investigate security findings, and turn meetings into delivery plans.
With 12+ years in enterprise technology, I take ownership from architecture through implementation. The result: working systems with a clear business case.
AI Cost Optimization
Measure quality, latency, and cost
Multi-Agent Architect
Agents that build, test, and review code
Enterprise Knowledge
Search, sources, and scoped access
ServiceNow Architect
Platform strategy and CSDM inference
Current Mission
Agentic AI That Works in the Enterprise
Miami, Florida · 12+ Years Experience
Turn enterprise knowledge and complex workflows into working AI products.
226k+
Knowledge chunks indexed across four sources
4–6¢
AI request cost, reduced from about $2.19
350 → 215
Backlog proposals after refinement on the same 10 transcripts
Recent Work
Autonomous delivery: Two candidate implementations, automated evaluation, and a human release gate.
Enterprise knowledge: Six ingestion pipelines turn scattered documentation into source-backed answers.
Security review: Seven deterministic scanners paired with eight specialized AI reviewers.
Focus Areas
Generative AI Strategy & GovernanceServiceNow Platform ModernizationCross-Cloud Integrations & AutomationEnterprise Change & Success PlaybooksField CTO Advisory & Evangelism
Technical Expertise
Skills & Technologies
Hands-on AI engineering, enterprise architecture, and the judgment to know what is worth building. Proficiency levels are self-assessed.
AI/ML & Delivery Tools
LangGraph & Autonomous Delivery
95%Multi-Agent Systems & Agentic Workflows
94%RAG & Vector Database Systems
92%LLM Provider Evaluation & Benchmarking
90%Enterprise Platforms
ServiceNow (CSA, CIS-ITSM, CIS-HR)
96%GCP Vertex AI & Cloud Run
92%Azure OpenAI & AI Foundry
92%PostgreSQL, ChromaDB & MCP
88%Leadership & Strategy
Budget Ownership ($8M+)
95%Build vs Buy Decision Making
94%Vendor Evaluation & Selection
92%Team Management (8-20+)
90%Business Case & Cost Modeling
Semantic Context Optimization
96%Token Economics & Cost Reduction
95%GCP/Azure Consumption Pricing
92%ROI & Impact Forecasting
90%My Services
What I Do
From the first business case to the working system: agentic AI, enterprise knowledge, and ServiceNow.
AI Strategy & Cost
Compare the options. Measure quality and cost. Build the business case before the commitment.
- Build-vs-buy evaluation
- Provider benchmarking
- AI cost and value modeling
Enterprise Knowledge & ServiceNow
Connect company knowledge to useful answers, with scoped access and traceable sources.
- RAG and ingestion pipelines
- ServiceNow architecture
- MCP tools and integrations
Ready to bring your ideas to life? Let's discuss your project.
Engineering Portfolio
Recent builds and selected work across agentic AI, enterprise knowledge, and ServiceNow.
12+ years
Experience
Enterprise architecture & delivery
7
Recent Builds
Agentic AI systems built
6
Knowledge Pipelines
Enterprise source ingestion
End to end
Ownership
Architecture through operations
Autonomous Software Delivery
From production issue to reviewed PR
Built an agentic delivery system that turns production issues into competing fixes, tested pull requests, and reviewed releases.
Architect & Engineer Project Metrics
Enterprise AI Assistant
Specialists grounded in enterprise knowledge
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 Project Metrics
Enterprise Knowledge Platform
Six sources. One grounded workspace.
Built an enterprise knowledge workspace with six ingestion pipelines and 226,142+ indexed chunks across four sources, powered by Qdrant.
Architect & Engineer Project Metrics
ServiceNow Service Modeling
Incidents into a service model
Built a multi-agent system that turns ServiceNow incident history into a CSDM service model and a 13-section report.
Architect & Engineer Project Metrics
Security Review Agents
Specialist review with a noise filter
Combined seven scanning tools with eight specialist AI reviewers to investigate security findings and filter noise before issues reach engineers.
Architect & Engineer Project Metrics
Meeting-to-Backlog Planner
Decisions into scoped delivery work
Built a planning pipeline that turns meeting decisions into prioritized delivery stories, refining 350 proposals to 215 across ten transcripts.
Architect & Engineer Project Metrics
AI Product Scorecard
See where AI earns its investment
Built a leadership scorecard that connects AI adoption, model spend, infrastructure cost, and modeled value so leaders can decide where to invest.
Architect & Engineer Project Metrics
MAS Agents Research 1.0
Deep Research Swarm
Cyberpunk-themed dual-mode research orchestration system using specialized AI models for deep-dive analysis and map-reduce synthesis.
Architect
MAS Agents Code
Parallel Code Swarm
Autonomous coding platform featuring a 7-agent ensemble with true parallel execution and consensus-based conflict resolution.
Lead Engineer
ServiceNow Expert Agent
Enterprise Orchestration
Production-grade multi-agent system managing 12 ServiceNow domains with circuit breakers, checkpointing, and tenant isolation.
Principal Engineer
Montana Video
GovRel Intelligence Platform
Government relations platform processing legislative video with multi-modal analysis, diarization, and vector search.
Lead Developer
Guestlists Miami
AI Concierge & CRM
VIP nightlife management system with a public-facing AI concierge, enforcing strict write-only security models.
Full Stack Developer
Reddit Email Digest
Social Synthesis Engine
LangGraph pipeline synthesizing daily and weekly Reddit newsletters using dual-model abstraction and structured parsing.
Developer Project Metrics
Auto Job Applier
Intelligent Web Agent
Resilient Selenium-based bot with pluggable AI adapters (DeepSeek, OpenAI, Gemini) for automated job applications.
Developer
Project DREA
Relational Intelligence
Privacy-first emotional intelligence platform using Vertex AI RAG to analyze relationship dynamics and detect manipulation patterns.
Lead Engineer
Pocket Officer
Law Enforcement Assistant
Real-time Florida statute violation identifier using Vertex AI Search grounding and structured output validation.
Developer
Semantic Deduplication
Optimization Engine
CPU-optimized semantic clustering engine achieving ~34% token reduction for RAG pipelines via SimHash and graph clustering.
R&D Project Metrics
YouTube Deep Dive
Knowledge Extraction
Precision analysis tool for technical presentations, extracting deep architectural patterns from video transcripts.
Developer
Raggity Chat POC
Collaborative Workspace
Workspace utilizing OpenAI Assistants API with file_search and Google Drive integration for collaborative RAG.
Developer
CourtListener MCP
Legal Data Server
Specialized MCP server for querying legal opinions and filings via the CourtListener API.
Author
Get In Touch
Contact Me
Have a project in mind? Let's discuss how we can work together to bring your ideas to life.
Let's start a conversation
I'm always interested in hearing about new projects and opportunities. Whether you're a company looking to hire, or someone with a project idea, I'd love to hear from you.