AI workflows, dashboards,and internal tools for ops-heavy teams.
For teams with work stuck across inboxes, spreadsheets, documents, CRMs, websites, and disconnected tools. I map the workflow, find the bottleneck, and ship the dashboard, automation, or AI-assisted system that makes the work visible and easier to run.
Who I help
Teams with important work stuck between people, tools, and spreadsheets.
The strongest first project usually starts with one named workflow, dashboard, or digital handoff that keeps aging, changing quietly, or waiting for one person to move it forward.
Ops-heavy teams with messy internal workflows
Dashboards, automations, and AI-assisted workflows for recurring work trapped between spreadsheets, inboxes, documents, and approvals.
Construction & real-estate operators
Field updates, market research, owner reporting, vendor follow-up, and project visibility systems built around how the team already works.
Property & family-office operations
Focused audit and automation paths for COIs, rent readiness, lease renewals, vendor coordination, and sensitive back-office workflows.
Approval-heavy operating teams
Human-reviewed workflows where financial, tenant, vendor, or client actions need clear boundaries before automation runs.
Service businesses that need a cleaner digital front door
Practical websites and intake paths that explain the business clearly, capture demand, and connect to the follow-up workflow behind the scenes.
Client Work
Proof from real operating work.
The site does not need to claim magic. It needs to show that workflows have already moved from messy inputs into dashboards, recurring pipelines, local-first automation, audit logs, and approval paths.
Problem
A Midtown hotel construction project required manual reporting and status chasing before client check-ins.
What was built
Construction progress dashboard for a Midtown hotel project, turning field updates into live status visibility and stakeholder reporting.
Problem
A Brooklyn real-estate operator needed recurring StreetEasy market research without spending hours manually searching, copying, and formatting listings every other week.
What was built
Automated StreetEasy research pipeline that pulls matching listings, filters by criteria, and delivers structured results into Google Sheets.
Problem
A NYC family-office and real-estate operator needed automation around sensitive back-office work without moving financial records, tenant data, or documents into another SaaS layer.
What was built
Local-first automation infrastructure on client-owned hardware, starting with insurance expiration tracking and expanding toward delinquency, QuickBooks, cash, loan, and internal communication workflows.
Problem
A professional services business needed a clearer website presence without turning the project into an overbuilt marketing site.
What was built
Designed and launched a focused business website that explains the offer, gives the owner a sharper digital front door, and supports follow-up with prospective clients.
Systems I build
Practical systems worth building after the workflow is clear.
This is the practical starting set for ops-heavy teams: dashboards, exceptions, approvals, follow-ups, audit trails, and recurring research.
Workflow Audit
Five business days. One named workflow. A clear build decision.
For property operators and other ops-heavy teams with one workflow that keeps aging, breaking, or waiting on manual follow-up. I map the real process, inventory the exceptions, and tell you exactly what should be built first.
5 days
timeline
1
workflow
30 days
credit window
Fixed audit fee
$1,500, paid on signature and credited to the build if signed within 30 days.
Workflow map
What actually happens today, which source reports are trusted, who owns each handoff, and where work stalls before the next follow-up.
Exception inventory
A scored list of expired, aged, missing, changed, blocked, and approval-needed work that automation should surface first.
Build-or-do-not verdict
A clear call on whether this workflow is ready to automate now, needs a readiness queue first, or should stay manual until the inputs improve.
Fixed-price build scope
If the workflow is ready, you get the safest first build scoped with human approval design, logging, dependencies, timeline, and acceptance criteria.
AI Ops Teardowns
How I think through the workflow before building the automation.
Teardowns are compact workflow maps: the bottleneck, the data source, the exception, the approval boundary, and the system I would build first.
View automation workInsurance expiration exception layer
Property OpsScan policies and COIs, flag expirations, draft follow-ups, route approvals, and log every status change.
Rent delinquency data readiness queue
Family OfficeValidate reports before outreach, separate clean rows from edge cases, and keep humans in the approval loop.
Field note to owner update workflow
ConstructionTurn messy jobsite notes into punch items, owner-safe updates, PM approvals, and daily project logs.
Work
A balanced view of client outcomes, sandbox capability demos, the operating systems I run myself, and apps. Some projects are anonymized or demo-scoped because client trust matters more than theatrical proof.
Client Outcomes
Production client work from real operating problems. These stay first because the consulting buyer needs proof that the work survives contact with messy workflows.
Sandbox & Capability Demos
Built demos that show how I design, test, and deploy controlled AI workflows before applying the pattern inside a client environment.
What I Run
Internal agent operations and automation infrastructure that runs my own consulting, content, research, and governance workflows.
AgentGuard — AI Governance Layer
The trust layer missing from most AI deployments. Confidence scoring decides what the AI handles autonomously vs. what needs a human. Every decision — automated or overridden — is logged with full reasoning. Live demo: HR candidate screening.
≥70% confidence → auto-execute · <70% → human review · every decision auditedApps
Product work that shows taste, systems thinking, and AI-directed implementation without making the site look like a developer portfolio.
Vista
Native iOS movie rating app — live on the App Store. Taste profiling, AI-powered performer rankings, and 30-day trending analysis built entirely through AI-directed development.
Nash Satoshi — Crypto Game Theory Rankings
4-LLM ensemble that cross-validates crypto market analysis across Claude, GPT, Gemini, and Grok to produce consensus rankings. Eliminates single-model bias.
4-model consensus · 32-node n8n pipeline · ~4 min end-to-endAdversight AI
Automated competitor ad analysis tool that scrapes rival Facebook/Instagram ads, analyzes their creative elements, compares them to your ads, and tells you exactly what to change to match their results.
Traditional analysis: $3k+/mo → automated weekly deliveryHow I work
The first job is judgment: figure out what should be automated before anyone starts buying tools or building demos.
Map the real workflow
I start with how the work actually moves: files, inboxes, approvals, spreadsheets, people, edge cases, and the places ownership gets fuzzy.
Rank the bottlenecks
Not every workflow deserves AI. I score opportunities by time saved, visibility, risk, implementation complexity, and how painful the failure mode is.
Scope the first system
You get a clear build recommendation: what to automate first, what data it needs, what success looks like, and what should stay human-owned.
Build it into production
If the scope makes sense, I build the workflow, document it, test the edge cases, and leave your team with a system that actually runs.
About
I spent six years as a Business Systems Analyst at Spectrum Enterprise, working across systems, teams, process gaps, and rollouts where the hardest part was rarely the software itself. It was getting the workflow, ownership, exceptions, and handoffs right.
That is the lens I bring to AI implementation. I map how work actually moves, identify the highest-leverage bottleneck, then build controlled automation around the real operating pattern instead of forcing teams into a generic tool.
My work now spans client dashboards, recurring research pipelines, Salesforce Agentforce agents, n8n workflows, and local-first operations systems. The common thread is practical implementation: visible exceptions, human approval where it matters, and systems that operators can actually use.
Experience
AI Implementation Consulting
Sep 2025 – Present
Spectrum Enterprise / Charter Communications
Business Systems Analyst
Jun 2019 – Aug 2025
Ithaca College
BS Sport Management, Minor Legal Studies
2014 – 2018
Client Results
NYC construction & real-estate operator
Built a live AI dashboard for 3 active job sites, then automated their bi-weekly StreetEasy research. Two projects, same client, both in production.
NYC family-office operations
Building local-first automation infrastructure for sensitive back-office workflows: dedicated workflow machine, audit trail, human-in-loop controls, and recurring compliance automation.
Tools & Systems
AI & Automation Stack
Adjacent Technical Fluency
Start with one workflow.
Tell me the workflow that eats the most hours. I reply within 24 hours with whether it is a fit for an audit and what I would need to map it.
Response within 24 hours.