John

AI Automation Architect | Building Intelligent Systems with AI Agents |N8N

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Overview

Looking for full-time work (8 hours/day)

at $11.61/hour ($2,240.00/month)

Associates degree

Last Active

July 1st, 2026 (20 days ago)

Member Since

September 5th, 2025

Profile Description

AI Automation Architect


I design autonomous AI systems that replace manual business operations. I've built 14 production AI agents, deployed 30+ N8N workflows, and delivered


full-stack applications for clients across real estate, marketing, construction, and enterprise — all running without human involvement.


WHAT I BUILD


AI Agent Systems — 14 production agents with Claude Code for code generation, security auditing, documentation, and deployment


AI Voice Agents — Real-time appointment scheduling with speech-to-text, natural conversation, and calendar booking via LiveKit + Deepgram


N8N Workflow Engineering — 30+ deployed workflows spanning lead intake, AI qualification, campaign orchestration, and multi-channel outreach


Full-Stack Applications — Next.js, TypeScript, and React platforms with Supabase, PostgreSQL, and role-based access control


Campaign Systems — Email campaigns and Facebook Ads with AI-powered lead enrichment and audience targeting


PROVEN BUSINESS IMPACT


Support response times reduced from hours to minutes


2% email response rate (2x industry standard) across client campaigns


100% engagement boost on Facebook Ads through AI-optimized targeting


85+ meetings booked monthly through automated outreach


95% manual task elimination across client operations


1,260+ customer records migrated for health insurance platform with zero downtime


15% customer satisfaction increase (70% to 85%) through data-driven team leadership


TECHNICAL EXPERTISE


AI & Automation: Claude Code, N8N, OpenAI, Google Gemini, Deepgram, LiveKit, Retell AI


Development: TypeScript, Next.js, React, Python, Node.js, Tailwind CSS


Backend & Data: PostgreSQL, Supabase, Docker, Cloudflare Workers, Prisma


Integrations: Webhooks, REST APIs, Google Sheets, Google Calendar, ---------- , Twilio


Campaigns: Instantly, Facebook Ads, Email Sequences, Lead Generation


FEATURED PROJECTS


AI Agent Ecosystem — 14 production agents + 20 specialized skills for autonomous software development


AI Voice Scheduling — LiveKit + Deepgram voice agents booking appointments in real-time across multiple client industries


Homesure Health Plan — Full Next.js insurance platform with 8-step applications, automated invoicing, and role-based access


27+ N8N Workflows — Chatbots, voice pipelines, 65-node Revenue Accelerator, deployed across 9 clients


Campaign Management — Instantly + Facebook Ads with AI enrichment achieving 2% response rate and 100% engagement boost


AI Sales Forecasting Dashboard — Python + Streamlit ML-powered predictive analytics


AI Customer Support Automation — AI triage reducing response times by 75% with 98% classification accuracy


WORK STYLE


Full-time availability, 8 hours/day


Business-first approach — I understand operations before writing any code


Clear communicator between technical and non-technical stakeholders


Reliable delivery with full documentation and handoff


Portfolio: ---------- v

GitHub: ---------- /JP-source-do

LinkedIn: ---------- /in/john-paul-nicolasora-1a940137b

Top Skills

Experience: 1 - 2 years

Experience: 1 - 2 years

Experience: 1 - 2 years

Other Skills

Experience: 6 months - 1 year

AI-Powered E-commerce Sales Forecasting Dashboard AI-Powered E-commerce Sales Forecasting Dashboard "How can an e-commerce business predict sales to proactively manage inventory and marketing? That was the problem I set out to solve with my latest project: an AI-Powered Sales Forecasting Dashboard. I leveraged Python, Streamlit, and Scikit-Learn to create an end-to-end data product. The final dashboard delivers a clear 30-day sales forecast and a breakdown of top-selling products, providing a tangible tool for data-driven decision-making. This project taught me the entire end-to-end process of building a data product. I used Python, Streamlit, and Scikit-Learn to: Clean and prepare data from a raw dataset. Train a predictive model to forecast future sales. Build an interactive dashboard with Plotly for a user-friendly experience. Check out the live demo here : https://lnkd.in/eFsX8Jes The full code and project details are available on my GitHub: https://lnkd.in/eAcJrH3r I'm looking forward to applying these skills in my next project! #DataScience #Python #Streamlit #MachineLearning #PortfolioProject #AI

Experience: 6 months - 1 year

Experience: 6 months - 1 year

Experience: 6 months - 1 year

Experience: 6 months - 1 year

Basic Information

Age
31
Gender
Male
Website
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Address
Pinamalayan, Mindoro
Tests Taken
IQ
Score:  147
DISC
Dominance: 37
Influence: 28
Steadiness: 25
Compliance: 10
English
C2(Advanced/Mastery)
Government ID
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