Available for new automation projects

AI Automation Specialist

I build AI systems that eliminate repetitive work, automate business operations, and help companies scale faster through intelligent workflows.

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// Business impact

Measurable outcomes, not vanity metrics.

Every system I ship is judged by one thing: the hours and revenue it returns to the business.

100+

Emails Automated Daily

Cold outreach at scale

70%

Manual Work Reduced

Prospecting effort eliminated

Production Automation Systems

Deployed for real clients

3–5

Attorney Hours Saved Per Day

USPTO monitoring automation

40%

LinkedIn Reach Increase

Within 60 days of deployment

// Featured Projects

Production systems, not demos.

Each system below is deployed and running for a real client — built, monitored, and owned by the business.

Sales automation

AI SDR System

Problem: Manual prospecting was slow and inconsistent across lead sourcing, enrichment, and follow-up.
Solution: A fully automated sales pipeline: lead sourcing, prospect enrichment, website scraping, email verification, personalized outreach generation, and multi-touch follow-up — processing 100+ contacts/day with minimal human input.
Business Impact: Reduced manual prospecting effort by ~70%; achieved a 3–5% reply rate on cold outreach at scale.

GmailGoogle SheetsChatGPTWeb scrapingFollow-up sequences

Legal automation

USPTO Legal Monitoring System

Problem: Attorneys manually monitored patent and trademark application updates across many filings.
Solution: Real-time monitoring workflow for a US law firm tracking 50+ active filings — auto-detecting office actions, rejection notices, missing documentation, and status changes, with AI-generated attorney-ready briefs from raw legal updates.
Business Impact: Saved 3–5 hours/day per attorney; measurable ROI within the first week of deployment.

Google SheetsAirtableGmailWebhooksGoogle Calendar

Conversational AI

AI Voice Leasing Assistant

Problem: Rental inquiries required live staff to qualify, recommend, and schedule every lead.
Solution: An inbound AI voice assistant using Vapi that handles rental inquiries end-to-end: collecting requirements, recommending apartment options, scheduling viewings, capturing lead data, and triggering automated follow-up communications.
Business Impact: End-to-end inbound rental handling without human intervention.

VapiAI voiceLead captureFollow-up automation

CRM workflows

CRM Automation Platform

Problem: Lead capture, routing, and nurturing were fragmented across client verticals.
Solution: Customer lifecycle workflows covering lead capture, routing, nurturing, appointment scheduling, and communication — deployed across multiple client verticals.
Business Impact: Reduced average client manual workload by an estimated 4–6 hours/week per client.

CRMLead routingNurturingScheduling

Content automation

LinkedIn Automation Pipeline

Problem: Consistent LinkedIn content required ongoing manual research and publishing effort.
Solution: An automated content research, generation, and publishing workflow built for a client.
Business Impact: Increased the client’s LinkedIn post reach by ~40% within 60 days of deployment.

Content researchGenerationPublishing

// My Process

From discovery to optimization.

A repeatable system that turns manual workflows into owned, AI-powered systems — built one layer at a time.

Discovery

Map the business process end to end — the manual work, the hand-offs, the failure points, and the systems already in place.

Workflow Design

Architect the automation across platforms so every step has a clear trigger, transform, and destination.

AI Development

Implement the workflow in n8n, Make, and APIs — wiring AI models, integrations, and triggers into one reliable system.

Testing

Run against real data and edge cases before it goes live; validation catches drift early.

Deployment

Ship to production with monitoring and documentation the client owns — not a black box.

Optimization

Tune for throughput and edge cases as the system runs at scale.

Discovery

Map the business process end to end — the manual work, the hand-offs, the failure points, and the systems already in place.

Workflow Design

Architect the automation across platforms so every step has a clear trigger, transform, and destination.

AI Development

Implement the workflow in n8n, Make, and APIs — wiring AI models, integrations, and triggers into one reliable system.

Testing

Run against real data and edge cases before it goes live; validation catches drift early.

Deployment

Ship to production with monitoring and documentation the client owns — not a black box.

Optimization

Tune for throughput and edge cases as the system runs at scale.

// Technology

The stack behind the systems.

A focused, proven toolkit — every tool chosen for reliability and real-world results.

AI Models

ChatGPT (GPT-4)
Claude
Codex
Vapi
Voiceflow
AI Agents
Prompt Engineering

Automation

n8n
Make.com
Zapier

Data & Storage

Google Sheets
Airtable
Notion
Web Scraping
Data Enrichment

Integrations

REST APIs
Webhooks
Gmail
Google Calendar
Google Drive

// Contact

Let’s Build Your Next AI Automation System

Book a free discovery call and we’ll map the highest-impact automation opportunities in your business.

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