AI Automation Specialist
I build practical AI-powered workflows that reduce repetitive work, connect business tools, organize data, and improve day-to-day operations.
I build workflows that connect the tools businesses already use and automate repetitive processes across leads, customers, operations, data, and internal communication.
Lead intake, duplicate detection, AI qualification, scoring, routing, and personalized follow-up.
AI voice reception that captures intake details, checks availability, and books appointments through backend workflows.
Record enrichment, opportunity stages, tags, tasks, notifications, and follow-up sequences kept in sync.
Ticket intake, classification, knowledge retrieval, human review, SLA monitoring, and case closure.
Turn incoming requests into structured service records with routing, task coordination, and onboarding steps.
Agents that use connected tools while sensitive actions stay behind approvals, guardrails, and audit logs.
Six systems selected from 50+ hands-on automation builds, portfolio projects, and business-system simulations.
01 / P050
An AI voice front desk that captures patient intake details, checks appointment availability, and books appointments through connected backend workflows.
Key capability
Connects Vapi and n8n for scheduling logic, appointment actions, structured call records, follow-up automation, and post-call processing.
02 / P049
A hybrid GoHighLevel and n8n system that validates leads, performs AI qualification, and applies deterministic scoring for Hot/Warm/Cold prioritization.
Key capability
Enriches CRM records through APIs and coordinates routing, opportunity stages, tags, tasks, notifications, follow-ups, and exception handling.
03 / P043
An end-to-end support workflow covering ticket intake, classification, investigation, AI-assisted resolution, follow-up, and closure.
Key capability
Combines RAG retrieval, human-review routing, SLA monitoring, PostgreSQL ticket tracking, and automated communications.
04 / P042
An AI operations agent that retrieves business data and uses connected tools while keeping sensitive actions under human control.
Key capability
Implements approval workflows, execution guardrails, controlled tool access, audit logging, and persistent operational context.
05 / P047
An AI-powered client intake system that converts incoming requests into structured, actionable service records.
Key capability
Automates classification, priority and complexity assessment, requirements validation, team routing, task coordination, onboarding, and operational logging.
06 / P046
A multi-stage sales workflow covering lead intake, duplicate detection, AI qualification, scoring, routing, and personalized follow-up.
Key capability
Supports Hot/Warm/Cold prioritization, ownership assignment, no-response re-engagement, sales handoff, and structured tracking.
The technical building blocks behind the systems above.
Conversational phone workflows that capture structured details and trigger backend actions in real time.
Agents that reason over business data, call defined tools, and stay inside guardrails and approval rules.
Embeddings, vector retrieval, and grounded answers built on internal documents and knowledge bases.
REST APIs, webhooks, OAuth2, and custom JavaScript to connect systems that have no native integration.
Multi-step orchestration with branching, filters, error handling, retries, and exception paths.
PostgreSQL, Supabase, Airtable, and structured logging for records, audit trails, and reporting.
01
Understand the current process, repetitive tasks, bottlenecks, tools, inputs, outputs, and automation requirements.
02
Define triggers, workflow logic, business rules, integrations, data flow, approvals, exceptions, and system structure.
03
Implement workflows using automation platforms, APIs, AI models, databases, and connected applications.
04
Test normal scenarios, edge cases, human approvals, data handling, errors, and integration behavior.
05
Implement the workflow, monitor behavior, troubleshoot issues, and improve the automation based on actual usage.
Automation & Voice Platforms
AI & Agents
APIs & Integrations
Data & Development
Daniel Sarcia
AI Automation Specialist
I'm Daniel Sarcia, an AI Automation Specialist based in Manila. My background in marketing, photography, and video production taught me how much reliable operations matter—understanding client requirements, coordinating people, and delivering consistently.
Today I apply that operational mindset to AI automation through 50+ hands-on projects using n8n, Make, Zapier, GoHighLevel, Vapi, APIs, and databases. My work spans Voice AI, AI agents, RAG, CRM orchestration, and human-in-the-loop controls.
Experience
2026 – Present
AI Automation Specialist
Independent Projects & Portfolio Systems
2020 – Present
Multimedia Content Creator
Filoil Philippines Corporation
2017 – 2022
Wedding Photographer | Lightroom Specialist
ForeverYday Photography
2015 – 2016
Food Photographer | Videographer | Editor
The Cravings Group
Certification
AI Automation Program
Technical Virtual Assistants PH — July 2026
Education
Bachelor of Arts in Digital Filmmaking
De La Salle–College of Saint Benilde · 2011–2015
Undergraduate Studies, Computer Science
Mapúa University · 2010–2011
Tell me what your team is doing manually, where the repetitive work happens, and what tools you're currently using. I can help identify where automation could make the process simpler and more reliable.
