"I build AI agents and automation systems that eliminate manual work — from idea to live deployment"
I am an AI Automation Specialist based in New Hampshire, USA. I design and deploy low-code, multi-agent AI systems and automation workflows that eliminate manual work and connect AI to real business tools — no heavy custom coding required.
My work spans building agentic AI assistants, voice bots, document automation tools, and cloud-based AI applications using n8n, OpenAI, Claude, AWS Bedrock, and MCP. I focus on shipping live, working products — not just prototypes.
I hold AWS Solutions Architect, AWS AI Practitioner, and AWS Cloud Practitioner certifications, along with a Cybersecurity Governance, Risk, and Compliance (GRC) certification. I bring 3 years of hands-on technology experience, plus 10+ years of broader cross-functional experience across media, legal, and business operations.
Problem: Professionals waste hours every day switching between Gmail, Google Calendar, and meeting tools. Every task lives in a different app and there is no single place to manage it all.
Solution: Maestro is a multi-agent AI assistant that handles email, calendar, and meeting tasks through one conversational chat interface. A Master Agent receives the user's message, identifies the intent, and routes it to one of three specialized sub-agents — each an expert in its own domain — which take action automatically.
Key Outcomes:
• 3 specialized AI agents deployed across Gmail, Google Calendar, and Fireflies.ai
• Integrated 12 live API actions — read, send, draft, reply, delete emails, get, create, update, delete calendar events, and retrieve meeting transcripts
• Reduced workflow timeout errors by 90% through API limit optimization
• Collapsed 3 separate productivity tools into one conversational interface
• Live and accessible via public URL — no login or app install required
Problem: Women's health clinics lose patient bookings after hours when calls go unanswered. Patients move to competitors and staff return to missed calls with no structured data.
Solution: An AI voice agent named Maya answers every inbound patient call 24/7, collects booking details, checks real-time availability, schedules appointments into Google Calendar, and logs all post-call data to Google Sheets — automatically.
Key Outcomes:
• 100% of patient calls answered
• 24/7 availability — no staff needed
• 0 minutes wait time for booking
• 100% of post-call data captured automatically
One photo. Instant safety report. Zero manual inspection.
Problem: Workplace safety inspections are slow, inconsistent, and expensive. Manual PPE checks require trained staff on-site and still miss violations that put workers at risk.
Solution: VisionCheck AI analyzes any workplace photo and generates a full PPE compliance report in under 15 seconds — automatically detecting violations, rating risk level, and recommending corrective actions.
Key Outcomes:
• PPE compliance report generated in under 15 seconds
• Risk level automatically rated as Low, Medium, or High
• Corrective actions recommended without human review
• Live and accessible at visioncheck.buildsmartai.app
Your contract reviewed in 30 seconds. No lawyer needed.
Problem: Contract review costs $300–$600 per hour and most small businesses, startups, and freelancers simply cannot afford professional legal review before signing.
Solution: RedlineAI reads any legal contract, identifies every risky clause, explains each one in plain English, assigns an overall risk level of Low, Medium, or High, and delivers a professional risk report directly to the user's inbox in under 30 seconds — fully automated, no human involved.
Key Outcomes:
• Contract analyzed and risk report delivered in under 30 seconds
• Risky clauses identified and explained in plain English
• Two modes: automated pipeline and Claude MCP agent mode
• Live and accessible at redlineai.buildsmartai.app
Your destination. Your style. Your plan — in 2 minutes.
Problem: Travel planning is slow, fragmented, and overwhelming. Travelers spend hours switching between blogs, maps, YouTube videos, and spreadsheets just to build a basic itinerary — often ending up with generic plans.
Solution: WANDR is an AI-powered travel planning web app that transforms a destination idea into a complete personalized travel plan in under 2 minutes. It generates day-by-day itineraries, hidden gems, packing lists, food recommendations, and safety tips — all through one guided experience.
Key Outcomes:
• Complete travel itinerary generated in under 2 minutes
• Day-by-day plan with morning, midday and evening activities
• PDF export, email delivery, and public shareable trip links
• Built and shipped as a fully responsive web app using Lovable (vibe coding)
AI that drafts. Humans that approve. Customers that get faster, better answers.
Problem: D2C skincare support teams spend 8-12 minutes manually drafting policy-based email replies — causing slow response times, inconsistent answers, and agent burnout.
Solution: Built an AI-powered customer support workflow using n8n, Gmail, OpenAI, Supabase Vector Store, and Slack to automate email triage, policy retrieval, and response drafting — with human review before anything reaches the customer.
Key Outcomes:
• Reduced draft time from 8-12 minutes to 2-4 minutes
• Replies grounded in company policy using RAG — not hallucinated
• 100% human review maintained before customer contact
• Support capacity increased without adding headcount
• Real Supabase Vector Store in production — project: novaglow-ai-support
I am open to full-time AI Automation Specialist roles, freelance AI automation projects, and collaboration on agentic AI systems. Reach out directly or send a message using the form.
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