Guadalupe Gallegos
AI Automation & Security Engineer
New to Contra
Guadalupe is ready for their next project!
I build intelligent automation systems that eliminate manual work and keep operations running clean.
AI agents • n8n workflows • hiring pipelines • business automation • secure system design
If you want smoother operations with less chaos, I build systems that do the work for you.
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AI Hiring Workflow & Candidate Automation System
I built an end‑to‑end AI‑powered hiring workflow that automates the entire candidate lifecycle — from screening to onboarding. This system replaces manual review, inconsistent communication, and slow decision‑making with a clean, structured, and fully automated pipeline.
What it does:
• Screens resumes and applications with role‑specific criteria
• Extracts skills, experience, and red flags automatically
• Generates structured candidate summaries for fast review
• Automates candidate communication and follow‑ups
• Schedules interviews and routes candidates to the right stage
• Delivers onboarding steps and training materials automatically
Why it matters:
Hiring is one of the most chaotic operational areas for most teams. This system turns it into a predictable, auditable workflow that saves hours per week and improves candidate experience.
Tech used:
AI models, embeddings, workflow automation (n8n), async operations, secure data handling, custom scoring logic.
Outcome:
A fast, fair, and scalable hiring pipeline that reduces time‑to‑hire, improves clarity, and eliminates repetitive manual work.
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⚙️ Intelligent Business Automation System
I build intelligent automation systems that eliminate manual work and keep operations running clean, fast, and predictable. This system combines AI reasoning, workflow automation, and secure integrations to handle the tasks teams shouldn’t be doing manually.
What it does:
• Automates repetitive workflows end‑to‑end
• Connects tools like n8n, Notion, APIs, and internal systems
• Handles logic, routing, and decision‑making
• Reduces operational drag and human error
• Runs asynchronously and scales with workload
Why it matters:
Most businesses lose hours every week to manual tasks.
This system replaces that friction with a reliable automation layer that executes instantly and consistently.
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I designed and deployed a custom AI Agent built to handle real operational workloads — not just chat responses. This system combines reasoning, memory, and tool‑use to execute tasks autonomously, reduce manual overhead, and deliver consistent, high‑quality outputs.
What it does:
Processes inputs and makes decisions without supervision
Runs multi‑step workflows with logic and error‑handling
Integrates with APIs, databases, and internal tools
Summarizes, routes, and evaluates information
Operates asynchronously and scales with workload
Why it matters:
This agent replaces repetitive manual tasks, increases operational clarity, and creates a reliable automation layer that founders can trust. It’s built with security, auditability, and real‑world constraints in mind.
Tech used:
LLMs, embeddings, secure tool‑use, workflow orchestration, async operations, and custom logic modules.
Outcome:
A stable, autonomous system that reduces cognitive load, accelerates execution, and frees teams to focus on higher‑value work.
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