Hello!
Partner-Builder|
$800M+ in cloud marketplace operations across AWS and Microsoft (2x MSFT Partner of the Year). While running those deals — built 58 production AI tools, multi-agent frameworks, and infrastructure processing 163K+ events on Claude. Most people are either operators or builders. I’m both. At the frontier.
"I don’t study the frontier. I’m building infrastructure on it — while running enterprise deals."
TLDR
Ran the cloud alliance operations engine at Contentsquare — $0 to $30M+ across AWS and Microsoft, $800M+ in registered deals, 2x MSFT Partner of the Year. At the same time: built 58 MCP tools, production multi-agent systems, and AI infrastructure processing 163K+ events on Claude. Not sequentially — simultaneously.
I’m the operations expert who is also literally at the frontier, building. Partner SA is exactly where those two things collide.
~30 min technical conversation
Human Judgment × AI Capability
I don't just use AI tools—I architect systems where human expertise and artificial intelligence amplify each other.
Human
Vision, judgment, context, ethics, creativity
AI
Speed, scale, pattern matching, synthesis
The Augmentation Effect
→ Systems that anticipate needs
→ Refined solutions at scale
→ Novel approaches from diverse fields
→ Responsible automation
Systems I've Orchestrated
9-System AI Architecture
Self-improving cognitive infrastructure
Autonomous Research Agents
Multi-modal knowledge synthesis
Adaptive Routing Engine
Intelligent model orchestration
Cognitive State Management
Energy-aware task optimization
“The future belongs to those who can orchestrate AI systems with vision, judgment, and integrity.”
I speak both languages.
Most people live on one side. Partner ops people understand business but not the AI stack. AI builders understand the tech but not the co-sell motion. I've operated both.
Partner Side
- →$800M+ deal registration engine
- →Co-sell motion with AWS & Microsoft
- →6 CRM platform integrations
- →GSI and cloud partner operations
- →2x Microsoft Partner of the Year
The Bridge
- →Partner use case identification
- →GenAI enablement materials
- →Business case development
- →Technical ↔ business translation
- →From partner pain to AI solution
AI Side
- →58 MCP tools built on Claude
- →Multi-agent orchestration framework
- →4,035 Claude sessions
- →Production AI pipelines
- →GoMotion: Partner SA motion, live
Frontier Operations Score
Scored against Ethan Mollick's Frontier Operations framework — the skill of working at the surface of the AI capability bubble.
Boundary Sensing
96/100Maintaining accurate, up-to-date operational intuition about where the human-agent boundary sits. Updates with every model release — not static knowledge.
- →meta-vengine DQ scorer routes per model (Haiku/Sonnet/Opus) with data-driven boundary model across 3 models
- →Upgraded JD analyzer mid-session when API changed (Sonnet 4 → Sonnet 4.5-20251001) — noticed capability shift immediately
- →UCW captures 163K+ cognitive events across 6 AI platforms — empirical boundary dataset
Seam Design
98/100Structuring work so transitions between human and agent phases are clean, verifiable, and recoverable. Knowing WHICH phases are agent-executable vs human-in-the-loop vs irreducibly human.
- →SUPERMAX: 5 councils, 21 agents, 9 explicit cross-agent handoff wires (sovereignty↔token, qa→platform, ux→product+protocol)
- →GoMotion: 4 agents + 13 sub-agents with explicit MEDDPICC scoring seam between qualification and routing
- →ACE (Adaptive Consensus Engine): 6-agent voting at output seam with DQ numerical validation at every transition
Failure Model Maintenance
94/100Maintaining an accurate current mental model of HOW agents fail — not just that they fail. Differentiated failure taxonomy per task type.
- →Recovery Engine: 94% coverage, 70% auto-fix rate, 8 tracked error patterns — failure taxonomy in production
- →DQ Scorer: validity (40%) + specificity (30%) + correctness (30%) — three-axis failure model
- →Coherence detection: semantic echo (cosine similarity), synchronicity (temporal alignment), signature matching
Capability Forecasting
89/100Ability to forecast where the AI boundary will move next — tracking model releases and adjusting workflows before the seam shifts.
- →arXiv weekly sync auto-updates model baselines in meta-vengine; arXiv:2511.15755 (DQ Scoring) referenced 599 times across the ecosystem
- →meta-vengine co-evolution: system reads own patterns and modifies own instructions — designed for capability drift
- →Migrated entire coordinator to Opus 4.6 on release day; Cognitive OS energy-aware routing adapts to new model capabilities
Attention Calibration
92/100Knowing where human attention creates most value at the current boundary — managing attention across agent-assisted work.
- →Cognitive OS: energy-aware routing by time of day (morning/peak/dip/evening/deep_night) with flow state detection (0–1 score)
- →Session optimizer: budget/window management, strategically reserves Opus tasks for high-cognition moments
- →Activity tracker: real-time telemetry on tool usage and context budget — prevents attention blowout
Frontier Operations is the skill of working at the surface of the AI capability bubble — sensing where agents succeed, designing clean handoffs, maintaining failure models, and calibrating human attention as capabilities shift quarterly. Scores are evidence-based, derived from production systems built and operated over 4,035+ Claude sessions.
GoMotion: Partner Sales Orchestration Platform
Architected live in a single Claude session with a partner manager
Delivered Live
Ask Me Anything
AI-powered chat that knows my entire portfolio. Go ahead, interrogate.
Verifiable Proof
Every metric below has documentation. Click to see the evidence.
Skeptical? Good. Verify everything.
What 163K AI Interactions Reveal
Real data from the UCW — a system that captures every AI interaction across 6 platforms, generates semantic embeddings, and detects cross-platform coherence.
163K+
Cognitive Events
Across 6 platforms
150K+
Embeddings
Semantic vectors
11K+
Sessions
Tracked interactions
72
Coherence Moments
Cross-platform alignment
7
Active Arcs
Persistent thought threads
6
Platforms
Claude, ChatGPT, Grok+
What I Think About Most
Measurable Results
Quantified impact from orchestrating AI-augmented systems and operations
Revenue Influenced
Cloud marketplace operations
Process Automation
Manual tasks eliminated
Partner Deals Processed
Per quarter at peak, 97% approval rate
Microsoft Partner of the Year
AWS + Microsoft ecosystems
Verified through published case studies and partner recognition
Trusted By & Built With
Enterprise partnerships and cutting-edge technology stack
AWS
AWS Partner Network
Microsoft Azure
Azure Cloud Partner
Google Cloud
GCP Marketplace
Contentsquare
Cloud Alliance Operations
Suger
Marketplace Operations Platform
Anthropic
Claude AI Integration
OpenAI
GPT Integration
Vercel
Deployment Platform
Partnership Leaders
Catalyst 2026 Speaker
AWS
AWS Partner Network
Microsoft Azure
Azure Cloud Partner
Google Cloud
GCP Marketplace
Contentsquare
Cloud Alliance Operations
Suger
Marketplace Operations Platform
Anthropic
Claude AI Integration
OpenAI
GPT Integration
Vercel
Deployment Platform
Partnership Leaders
Catalyst 2026 Speaker
Testimonials & Features
Featured in industry case studies and partner ecosystem conferences
“Catalyst gave us the opportunity to connect meaningfully with partner leaders through deep, topic-driven discussions. It was an incredible experience.”
Dico Angelo
Speaker
Catalyst 2026
“Suger has been a game-changer for us, their platform has not only streamlined our marketplace management but also allowed us to grow our cloud partnerships with AWS and Azure in ways we never thought possible. It's more than just a tool—it's become an extension of our team.”Suger.io Case Study
“This workshop highlighted the importance of rapid prototyping and the benefits of working in a creative environment... The iterative process we followed enabled us to test and refine our ideas rapidly, collaboratively engaging with previous iterations to find the best solution.”
Dico Angelo
Participant
1159.ai Innovation Workshop
“While most companies think about marketplace ops last, Contentsquare invested in marketplace operations from early on in the journey. Their operations lead, Dico Angelo, transformed processes that took days into minutes.”
Partner Insight Newsletter
Feature Article
0 to $30M in 30 Months Case Study
Client Projects
End-to-end delivery for real clients — from concept to production
The Signature Event
Cooper Swanson Ventures
Role: Strategy & Activation
Luxury event marketing website for an invitation-only networking gathering of 40 curated professionals at a private Miami penthouse. Delivered end-to-end in under 2 weeks — from client meeting to live deployment.
Deliverables:
- •Full marketing site with video showcase + 57-photo gallery
- •Sponsor tier system (title, premium, beverage, production)
- •Post-event recap mode with next-event funnel
- •Print flyer generators + QR code tools
- •Vercel Analytics with custom CTA tracking
Bxlence Hospitality
Bxlence Hospitality (Co-Founded)
Role: Co-Founder & Technology Lead
Complete digital platform for a luxury hospitality brand — hotels, dining, nightlife, yacht charters, private aviation, and membership experiences. Flagship Miami with multi-city expansion framework.
Deliverables:
- •15+ page platform with server components + dynamic routing
- •3-tier membership system ($2.5K / $10K / invitation-only) via Stripe
- •Event packages ($15K–$35K+) with booking pipeline
- •30+ custom animation components from scratch
- •Supabase-backed lead pipeline + Resend email notifications
- •Multi-city expansion framework with waitlist system
Major Projects
Research-driven AI systems implementing arXiv papers into production code
ACE
Adaptive Consensus Engine
Multi-agent voting system achieving consensus through adaptive thresholds, DQ-weighted voting, and auction-based agent selection.
100% vs 1.7% baseline
Actionability
300x
Token Reduction
50% faster
Consensus Rounds
95%
Test Coverage
Tech Stack:
Research Implemented:
- • arXiv:2511.15755 - DQ Scoring Framework
- • arXiv:2511.13193 - Agent Auctions (DALA)
- • arXiv:2508.17536 - Voting vs Debate
ARCHON
Meta-Orchestrator
Autonomous AI coordinator that manages 7 subsystems to achieve user goals with minimal human intervention. Complexity-adaptive routing across 4 LLM providers.
7 integrated
Subsystems
40% faster
Time-to-Solution
4 LLMs
Providers
Token-aware
Budget Management
Tech Stack:
Research Implemented:
- • arXiv:2601.09742 - Adaptive Orchestration
- • arXiv:2506.12508 - AgentOrchestra
- • arXiv:2508.07407 - Self-Evolving Agents
META-VENGINE
Self-Improving AI Infrastructure
9-system bidirectional co-evolution framework. The infrastructure that improves itself through feedback loops and pattern recognition.
70%
Auto-Fix Rate
700+
Error Patterns
0.889
DQ Score Avg
9 integrated
Systems
Tech Stack:
Research Implemented:
- • Self-healing systems
- • Feedback loop optimization
- • Cognitive pattern learning
UCW
Universal Cognitive Wallet
Sovereign cross-platform cognitive capture system. Processes 163K+ events from 5 AI platforms into PostgreSQL with pgvector. 12.15M knowledge graph edges, 7.1K memory items, 270K+ interactions.
12.15M
Graph Edges
7,130
Memory Items
5 integrated
Platforms
270K+
Interactions
Tech Stack:
Research Implemented:
- • Cognitive equity thesis
- • Cross-platform capture architecture
- • Vector similarity search at scale
ResearchGravity
Research Orchestration MCP Server
Temporal knowledge graph with ReACT synthesis agent. FastAPI backend with Qdrant vector search, 114+ archived research sessions, and meta-learning engine with 87% error prevention accuracy.
114+
Sessions
2,530
Embeddings
8,935
URLs Tracked
87%
Error Prevention
Tech Stack:
Research Implemented:
- • Temporal knowledge graphs
- • ReACT synthesis agents
- • Meta-learning error prevention
All projects are open source on GitHub
View All 38 Repositories →Download My Resume
Operations Leader | AI Systems Builder
Updated February 2026 · Accurate metrics · TN Visa eligible
$800M+
TCV Processed
900K+
Lines of Code
97%
Approval Rate
Or view my work directly:
Professional Timeline
From operational infrastructure to autonomous AI systems. A journey of building at scale.
Volunteer Mentor
Mass Fintech Hub
Volunteer leadership role mentoring 3 students from New England universities through the Mass Fintech Hub Mentoring Program.
Founder & AI Systems Architect
Metaventions AI
Shipped 410,000+ lines of production code across 4 deployed AI systems: Structura, CareerCoach, ResearchGravity, and Claude Infrastructure.
Cloud Alliance Operations & Partner Systems
Contentsquare
Operations leader enabling $30M+ cloud marketplace revenue growth in 30 months (0 to scale). Managed strategic vendor relationships with AWS & Microsoft.
Product Operations Manager
Rocket Mortgage Canada
Led data operations for team of 45 agents with quality control systems. Built evaluation frameworks delivering $222K annual savings.
Multi-Agent Systems Research
Independent Research
Published research on consensus mechanisms, DQ scoring, and agentic architectures.
Roundtable Lead Speaker, AI & Partnerships
Catalyst 2026 — NYC & Toronto
Selected as Roundtable Lead Speaker for AI & Partnerships at Catalyst 2026, connecting founders, operators, and investors across NYC and Toronto.
In The Arena
150+ events across 8 cities over 7 years. Not just attending — building relationships, contributing to communities, and moving between worlds that rarely overlap.
Art & Culture
3 consecutive Art Basel Miami
Where collectors, artists, VCs, and visionaries collide. Understanding taste, aesthetics, and the creative economy.
Global Finance
F1: Miami, Monaco, Montreal
The paddock, not the grandstand. International mobility and comfort in high-context environments.
Founder Networks
Builder Series NYC (monthly)
Not transactional networking. Consistent presence, real relationships, mutual support over years.
Frontier Research
NeurIPS 2025
Where papers become products. Proximity to the researchers pushing boundaries.
Circles & Access
Investor Networks
- • CoinFund — Attended several events, Jake Brukhman's network
- • Pompliano — Invited to annual Christmas party
- • BitAngels — Angel investor network access
- • Maja Vujinovic — OGroup MD, FinTech/Digital Assets
Builder Communities
- • Detroit Blockchain — 15+ events, community leader
- • AI Collective Detroit — Active builder participant
- • Web3 Toronto — Conference, every few months
- • AI Friends Toronto — Research community
Exclusive Access
- • Tavern Cohorts — Application-only founder programs
- • Jeremy Piven events — Delmonico's, Legacy series
- • Hamptons — Summer investor circuit
- • Health Board Advisors — Mastermind member
Geographic Presence
What 150+ Events Actually Means
Cross-Cultural Fluency
Comfortable with artists, researchers, executives, investors, and founders. Can translate between worlds.
Early Adopter Pattern
AI events in Feb 2023 — before the boom. Sees what's coming, positions early.
Relationship Over Transaction
Same communities for 3+ years. Builder Series, Detroit Blockchain, Blockchain Collective — consistent presence.
Community Builder
Not just attending — contributing. Education workshops, local scene building, advocacy.
Skills & Proficiencies
Bridging operational excellence with technical implementation. From infrastructure to AI systems.
AI & Agentic Systems
Operations & Infrastructure
Technical Stack
Enterprise Tools
Research & Knowledge Systems
Leadership & Community
Certifications
Achievements & Recognition
Want to See the Technical Infrastructure?
Explore the 9-system self-improving AI architecture, interactive code examples, and 3D neural network visualizations.
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How It Works
This analyzer searches my comprehensive career dossier (700+ indexed chunks covering skills, projects, metrics, and experience) and provides evidence-based matching. No flattery, no sugarcoating — just the facts.
Deployment Ready
I am currently open to new opportunities at the intersection of AI systems and operations leadership.
