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Finn CrossFC

Finn Cross

Full Stack AI Automation Engineer

€302/day
Independence, US
8-15 years

Average response time: 1 hour

About Finn

Full Stack AI Engineer | Shipping Production-Ready AI Agents, Automation & SaaS Systems

I build production-ready AI agents & automation systems that:
✅ Replace manual work
✅ Scale operations
✅ Turn unstructured data into actionable decisions

💼 8+ years of hands-on experience shipping AI & full-stack systems in Energy ⚡ | SaaS 💻 | Fintech 💳 | Property 🏢 — no demos, no slideware.

🛠️ What I Deliver (Outcomes, Not Buzzwords):

🌐 Scalable Web, AI Apps → Web & mobile apps integrated with HubSpot, Zoho & custom CRMs
🤖 AI Agents → Analyze PDFs, reports, sensor logs & documents using LLMs + RAG
⚡ Automation Pipelines → Cut human workload, response time & operational friction

📂 Real Work I’ve Shipped:

🏗️ Architected a multi-agent AI platform automating geological analysis & drilling optimization for oil & gas
📝 Built autonomous content & persona AI systems powering an AI-generated social platform
💡 Delivered LLM-driven CRM assistants for onboarding, FAQs, lead qualification & routing

⚙️ How I Work:

I own problems end-to-end — from architecture & APIs to cloud deployment — and ship systems that are secure, scalable & production-ready.

💻 Core Stack:

Python 🐍 | Node.js 🌐 | FastAPI ⚡ | React ⚛️ | Next.js ⏭️ | Angular/AngularJS ❄️ | OpenAI 🤖 | Custom LLMs 📚 | Database - Mongo, MySQL, PostgreSQL, Supabase, Firebase 🗄️ | Zoho 🔗 | n8n, make.com, zapier ⚙️ | AWS ☁️ | Devops 🌩️

🎯 Open To:
Full Stack AI Engineer · AI Automation Engineer · AI Agent Developer
  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Gain Energy
    Full Stack AI Automation Engineer
    DIGITAL AND IT
    May 2024 - November 2025 (1 year and 6 months)
    United States
    - Architected an AI agent platform that automated geological analysis, drilling optimization, and operational intelligence for oil & gas companies.
    - Built multi-agent systems using LLMs (GPT, Claude, custom RAG pipelines) to interpret unstructured field data, documents, and sensor logs.
    -Developed automation workflows to collect, clean, and classify engineering data from PDFs, reports, SCADA systems, and external APIs.
    -Integrated geospatial analysis tools and ML models for predictive maintenance and extraction efficiency forecasting.
    -Delivered secure cloud architecture using AWS (ECS, Lambda, DynamoDB, KMS) with enterprise-grade IAM and audit logging.
    RAG AI Automation DevOps Python Fullstack
  • Butterflies.AI
    Full Stack Developer
    DIGITAL AND IT
    May 2023 - March 2024 (10 months)
    United States
    - Developed core backend automation workflows Powering an AI-generated social platform, enabling autonomous content creation and user interactions.
    - Built AI agent pipelines using OpenAI GPT models to simulate human-like conversations, persona-based posting, and community engagement.
    -Designed scalable microservices for content generation, media rendering, user feed ranking, and moderation.
    -Implemented web scraping tools for trend extraction, sentiment analysis, and dataset generation to improve persona realism.
    -Integrated distributed task queues and serverless jobs (Google Cloud Functions, Cloud Tasks) to handle high-volume automated posting activities.
    -Optimized prompt engineering and fine-tuned LLMs for distinct personalities,
    emotional tone, and predictable conversational behaviors.
    Fullstack Laravel PHP Chatbot LLM
  • Freedom Property Investors
    Full Stack Software Developer
    DIGITAL AND IT
    May 2022 - April 2023 (11 months)
    Sydney, Australia
    - Built an AI-powered member care management platform that automated
    customer communication, case tracking, and onboarding flows.
    - Integrated LLM-driven assistants to handle FAQs, schedule calls, and route
    inquiries to the appropriate property experts.
    - Developed backend automation pipelines ՄPython and Node.js) for lead
    qualification, CRM updates, and personalized property recommendations.
    - Implemented data extraction tools to analyze property reports, investment
    documents, and market insights for member support.
    - Deployed cloud services on GCP to ensure secure data handling, scalability, and high availability.
    artificial intelligence Zoho CRM LLM React.js Next.js

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Education

  • Bachelor of Science in Computer Science
    Columbia University
    2018
    Bachelor of Science in Computer Science

Certifications

  • Certified Full Stack Developer
    Udemy
    AngularJS HTML/CSS Typescript JavaScript Node.js Next.js React.js Laravel Angular Python
  • Web Programming with Angular
    BTK Academy
    AngularJS Angular

Skill set

Categories