❖ DEPLOYED: SYSTEM_ENGINE_v1.0

FRANCIS ALTARES

AI Automation Specialist | Tech Virtual Assistant & Prompt Engineer

I build autonomous AI pipelines and custom workflows that eliminate repetitive tasks, optimize operational costs, and scale business operations seamlessly as a technical virtual assistant.

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// Core Operational Engine

const engineer = new AutomationSpecialist();

engineer.deploy(n8n_Architecture);

engineer.optimize(API_DataRouting);

engineer.scale(Intelligent_Pipelines);

// Status: Ready to Deploy

CORE EXPERTISE

Automation & AI Integration

Workflow Architecture: n8n (Advanced / Self-Hosted Server Deployment), Zapier
AI Engine Ops: OpenAI API (GPT models), Anthropic API (Claude), Prompt Engineering
Data Routing: Webhooks, REST APIs, JSON Parsing, HTTP Requests

Technical Skillset

Backend & Scripting: Python, JavaScript (Data Transformations)
Databases: SQL (Relational database management, querying, and logging)
Frontend Design: HTML5, CSS3

PROOF OF WORK (DEPLOYED SYSTEMS)

n8n Engine

Advanced Short-Form Content Repurposer

Objective: Built a scalable, self-hosted automation pipeline that transforms long-form video content into optimized short-form clips for multi-platform publishing, eliminating 90% of manual editing and uploading overhead.

Challenge: Manually cutting, formatting, writing descriptions, and scheduling video clips across multiple platforms (TikTok, YouTube Shorts, Reels) is highly repetitive. Standard cloud automation tools charge heavily per task, making high-volume content scaling expensive.

Solution: Architected a self-hosted n8n workflow triggered instantly by incoming webhooks. Integrated LangChain-style data flows to pass data cleanly through a Basic LLM Chain node. Leveraged Google Gemini models along with a Structured Output Parser to read media logs, identify engaging angles, and autonomously structure optimized short-form media logs entirely with zero task-fee overhead.

Results: 100% autonomous curation. Zero-cost execution via private hosting nodes.

Zapier Ecosystem

Cloud-Based Video Repurposing Pipeline

Objective: Designed a rapid-deployment automation workflow using Zapier to seamlessly move raw media assets, trigger AI content processing, and notify production teams instantly.

Challenge: Content production teams often experience operational bottlenecks and communication delays when raw assets are handed off manually from creators to editors.

Solution: Created an instant multi-step Zap triggered immediately when a new video lands on a designated YouTube channel. Implemented native integration with Google AI Studio (Gemini) to cleanly stream metadata, parse transcripts, and autonomously generate optimized summaries. This structured data is instantly compiled and pushed into a dynamic Google Docs system for the production team to access immediately.

Results: Turnaround latency slashed to under 5 minutes. 100% operational alignment.

SOLUTIONS & SERVICES

Custom Workflow Engineering

Connecting apps that don't natively talk to each other using webhooks, APIs, and custom data formatting.

AI Operations (AiOps)

Embedding Large Language Models into existing company workflows to automate data extraction, customer responses, or content generation.

Self-Hosted Automation Setup

Migrating businesses away from expensive software (like Zapier/Make) onto cost-efficient, self-hosted n8n infrastructure to dramatically lower software overhead.