Victor Miracle

Lead AI Automation Engineer & GoHighLevel Specialist

Upwork • Freiberufler

Feb 2026 - Present • 7 mos

Spearheaded backend automation and systems architecture for IntelliBoost Systems, utilizing Make.com to bridge GoHighLevel (GHL) and OpenAI APIs, resulting in fully autonomous lead capture and qualification pipelines. Key Achievements & Responsibilities: Voice AI Data Extraction Pipelines: Engineered a custom webhook infrastructure to capture raw Spanish-language Voice AI call transcripts. Integrated GPT-4o-mini to dynamically extract highly specific pre-qualification data (e.g., property ownership, window condition, decision-makers) and push cleanly formatted JSON summaries directly into GHL contact notes. Advanced Pipeline Management: Architected multi-branch routing scenarios in Make.com to automate GHL opportunity pipelines (such as the Imagine Me Notary project). Built reliable systems to search, update, and create opportunity cards based on live website form submissions. Bulletproof Error Handling: Implemented robust API error-handling logic (using "Skip" modules and delay buffers) to seamlessly manage GoHighLevel API rate limits, prevent 422/403 connection errors, and handle duplicate record rejections without crashing active workflows. Social Media AI Automation: Developed a custom content generation engine utilizing DALL-E 3 and GPT-4 to autonomously output scroll-stopping, conversion-focused promotional graphics and captions for small business marketing campaigns. System Troubleshooting & API Auditing: Regularly audited complex JSON payloads, mapped deprecated API fields to new standards, and isolated variable scope issues within GHL's backend to ensure 100% data accuracy across all webhooks.

AI Automation Developer

Freelancer.com • Freiberufler

Jan 2026 - Jan 2026 • 0 mos

Built an AI-powered appointment booking and calendar automation system designed to streamline scheduling for Theera touch massage parlor The system processes booking requests via webhook, interprets natural language inputs, and converts them into structured scheduling data. It integrates with calendar systems to check availability in real time, automatically confirming bookings or suggesting alternative time slots. Key challenges included handling time zone conversions and ensuring accuracy when interpreting user inputs. These were solved by implementing intelligent time standardization and backend logic for seamless timezone adjustments, while maintaining a smooth user experience. Delivered a scalable automation solution that reduces manual scheduling effort, improves response time, and enhances client experience.