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Gabriel, AI Automation Engineer specializing in AI agents, workflow automation, API integrations, and CRM systems that keep running after I'm gone. Recent build: a complete AI-powered operations system for a construction company connecting Jobber, Google Workspace, OpenAI, and Discord across 15+ production workflows. The centerpiece is an AI estimator agent, a chat-based quoting system backed by a four-step pricing engine. It takes the contractor's stated price first, falls back to the master pricing database, then checks AI-generated market pricing, and finally flags anything that requires human review. Finished quotes are automatically drafted into Jobber for approval. The system includes structured AI workflows, defensive error handling, automated monitoring, audit logging, intelligent routing, retry-safe operations, and a watchdog service that pings the platform every 30 minutes and alerts the owner if anything fails. API usage and AI costs remain predictable even during long-running conversations. Before that, I built a financial reconciliation and business process automation platform for an IFA firm using Google Apps Script. The system ingests reports from multiple sources and formats, normalizes and deduplicates records, matches actual payments against expected revenue, and surfaces discrepancies through an auditable dashboard with interactive override controls. The client continues to operate the platform monthly without developer involvement. Most broken automations aren't tool problems. They're systems problems. Poor inputs. Unclear business logic. Duplicate data. Disconnected platforms. Weak error handling. No visibility when something fails. Closing that gap is the whole job. I specialize in: • AI Automation & Workflow Automation • AI Agents & Agentic Workflows • Business Process Automation • CRM Automation & CRM Integrations • API Development & API Integrations • AI-Powered Workflows • Process Optimization & Operational Efficiency • Lead Generation & Lead Qualification Systems • Multi-Agent Systems & Automation Architecture • Custom AI Solutions • Intelligent Automation Systems • AI Strategy & Automation Consulting I do my best work on: • AI-powered workflows where the model is one validated component of a larger production system (Claude, OpenAI, structured outputs, intelligent routing, RAG workflows) • Multi-source data integrations where formats don't match, duplicates must be detected, and business rules matter • CRM automation projects involving Jobber, HubSpot, Salesforce, Google Workspace, and custom business systems • API integrations, webhooks, and automation infrastructure that require reliability, maintainability, and scale • AI agent development and workflow orchestration using n8n, Zapier, Make, LangChain, and modern AI ecosystems • Systems that continue operating reliably without ongoing developer involvement Primary stack: n8n • Zapier • Python • JavaScript • Google Apps Script • OpenAI APIs • Claude APIs • HubSpot • Airtable • Google Sheets • Google Workspace • Webhooks • REST APIs • CRM Systems • AI Agents • Workflow Automation • Process Automation Whether you're building AI agents, automating operations, streamlining lead management, integrating disconnected systems, implementing CRM automation, or scaling internal workflows, the objective is the same: Reduce manual work. Eliminate bottlenecks. Improve operational efficiency. Create systems that continue delivering value long after implementation. If your team is spending hours on repetitive processes, manually moving data between platforms, chasing leads, fixing broken automations, or managing workflows that don't scale, let's fix the root cause, not just the symptoms. Send me a message with your current workflow, automation challenge, or system architecture. I'll help identify the bottlenecks, uncover opportunities for automation, and design a solution that is reliable, scalable, and built to run long after the project is complete.

I help SaaS companies, startups and engineering teams by creating clear, practical documentation that makes products easier to use and maintain. My work includes user guides, how-to guides, API documentation, SOPs, and developer documentation. I always focus on creating content that helps users complete tasks quickly, reduces repetitive support requests and improves onboarding for both customers and internal teams. With a strong background in software engineering and web development, I understand the systems behind the documentation. This allows me to work directly with APIs, codebases, product teams and technical stakeholders to create accurate, well-structured documentation that stays useful as products evolve. 🔹 User Guides | How-to Guides I create clear, task-focused documentation that helps users understand your product, complete workflows efficiently, and reduce dependency on support teams. ✅ User guides ✅ How-to guides ✅ Step-by-step tutorials ✅ Product onboarding guides ✅ Feature walkthroughs ✅ Knowledge base articles ✅ FAQs and troubleshooting guides ✅ Internal process documentation ✅ User manuals ✅ Visual workflows and screenshots 🔹 API Documentation (OpenAPI / Swagger Expert) I create complete, production-ready API documentation that includes: ✅ Clear endpoint descriptions ✅ Request body parameters ✅ Query parameters & path parameters ✅ Authentication flows (JWT, OAuth, API Keys) ✅ Response structures with status codes ✅ Error codes with detailed schemas ✅ Properly defined data models ✅ Example requests & responses ✅ Postman collections ✅ SDK usage examples I work extensively with: Markdown • YAML • JSON • OpenAPI • Swagger • Redocly • Postman • GitHub ▪︎ ReadMe • Google Docs ▪︎ Zendesk • Docusaurus Your APIs will not only function well - they will be understood instantly. 🔹 Developer & Technical Documentation I create: ✅ Developer Guides ✅ API References ✅ SDK Documentation ✅ Integration Guides ✅ Database Documentation (SQL & NoSQL) ✅ System Architecture Documentation ✅ Technical Blogs & Articles ✅ Internal Engineering Documentation ✅ System Operating Procedures (SOPs) ✅ User Manuals ✅ How-To Guides ✅ Step-by-Step Tutorials Whether your audience is developers, internal teams or non-technical users - I adapt tone, depth and structure accordingly. 🔹 Developer Portals & Documentation Platforms I build structured, branded documentation portals using: ✅ Redocly ✅ ReadMe ✅ GitBook ✅ Docusaurus ✅ Mintlify ✅ Stoplight ✅ Confluence ✅ GitHub I ensure your documentation is searchable, scalable, version-controlled, and beautifully structured. 🔹 Technical & Engineering Strength My technical capabilities allow me to go beyond surface-level writing: ✅ Testing and validating APIs with Postman ✅ Running and testing SDKs ✅ Code commenting and codebase documentation ✅ JavaScript & TypeScript documentation ✅ Python code refactoring & documentation ✅ REST API workflows ✅ JSON, YAML, HTML, CSS ✅ Database structure documentation (SQL | NoSQL) Because I understand the code, I document it accurately. 🔹 What You Can Expect ✅ Clear, concise, and developer-friendly API documentation ✅ Reduced support tickets and improved onboarding ✅ Well-structured, scalable documentation systems ✅ Fast turnaround & deadline commitment ✅ Proactive communication ✅ Long-term documentation management support #TechnicalWriting #TechnicalDocumentation #UserDocumentation #UserGuides #APIDocumentation #OpenAPI #Swagger #SOPWriting #KnowledgeBase #DeveloperDocumentation #InstructionManual #ProcessDocumentation #SoftwareDocumentation #Markdown #GitBook

I help businesses automate operations with AI agents, workflow automation, and API integrations. I build reliable systems for lead routing, CRM updates, internal copilots, RAG bots, and multi-step automations using Zapier, Make, n8n, Python, and custom APIs. My focus is not just building the workflow, but making it stable, measurable, and easy to operate after handoff. What we build end-to-end AI lead-routing workflow CRM automation with webhooks and retries RAG/internal knowledge bot API integration / synchronization system How I run delivery Clear scope → fast prototype → measurable outcomes (time saved, error rate down, cycle time down). I document everything, add tests/evals for reliability, and set up production-grade observability (logs, cost/latency, failure monitoring) so your team can confidently operate it after handoff. Deliverables you’ll actually receive Solution blueprint + architecture diagram (agent graph, tools, data stores) Prompt library + guardrails + regression/evaluation suite RAG pipeline with a vector database and citations where needed Automations/integrations with error handling, retries, and clear documentation Handover docs + training (async walkthrough available) If you share your top 1–2 workflows, I’ll map the quickest, safest path to automate them and propose a build plan with clear success metrics.

I'm an AWS Certified Solutions Architect with 3+ years building production AI for enterprises and high-ticket B2B teams. I work in two lanes — enterprise AWS RAG, and AI-powered CRM/sales automation — and both ship to real production, not localhost demos. 🏢 EXPERIENCE IN Enterprise Conversational AI: + Covestro AG (via FPT Software) — Migrated a legacy HR chatbot to a multi-agent RAG platform on AWS Bedrock Knowledge Base. Cohere V3 embeddings, Amazon ReRank, Azure OpenAI GPT-4o. Event-driven ingestion (Lambda + SQS + DLQ) auto-syncs ServiceNow hourly. + FPT Software — Contract Intelligence — Skill-based extraction framework with prompt chaining. 35% accuracy lift, hallucinations sharply reduced. AWS Bedrock multi-model gateway, SSE streaming, scales to thousands of contracts per batch. + HTI Group — Agentic Chatbot — LangGraph + LlamaIndex ReAct agents, AWS Lambda + ECS Fargate, CI/CD via AWS CDK (TypeScript), Langfuse observability, hierarchical semantic chunking with auto-merge. 🤖 EXPERIENCE IN AI Sales Automation (GoHighLevel + CRM) + Inbound Sales Qualifier & Nurture Engine — AI layer wired into GoHighLevel (pipelines, triggers, calendar, SMS/email) for a high-ticket B2B offer. + Instantly scores leads on an 8-dimension Fit × Intent rubric, generates personalized email/SMS per lead, and answers inbound replies through a grounded RAG agent that only speaks from your real knowledge base — no invented pricing. + Hot leads auto-route to a rep + booking link; everyone else drops into smart nurture. FastAPI + pgvector + webhooks with retry/DLQ so no lead is ever dropped, plus an EventLog audit trail and a daily summary. Built end-to-end in a focused ~10-day sprint. What I do best: 🧠 Multi-Agent Systems — LangGraph, LlamaIndex, ReAct, agent supervisors, tool/skill orchestration 🔍 Production RAG — hybrid search, cross-encoder reranking, hierarchical chunking, graph RAG, grounded "no-hallucination" reply agents 📈 AI Sales & CRM Automation — GoHighLevel workflows, lead scoring, personalized nurture, calendar booking, webhooks + middleware (Python/Node), Make / Zapier glue ☁️ AWS Bedrock + OpenSearch + Lambda + ECS — real cloud-native, not localhost demos 🔒 Compliance — PII redaction, Bedrock Guardrails, zero-trust, KMS, IAM least-privilege 📊 LLMOps — Langfuse / LangSmith tracing, eval pipelines, LLM-as-judge 🧰 Infrastructure as Code — AWS CDK / TypeScript, Docker, GitHub Actions Engagement models I take: ⚡ Fast fixed-price build sprint (1–2 weeks) — ship a working AI feature, e.g. a GoHighLevel qualifier + grounded reply agent, or an MCP/agent tool surface 🔍 Architecture review (1 week, fixed price — see Project Catalog) 🚀 POC → Production migration (3–6 weeks) 🤝 Long-term retainer for ongoing AI platform work (2+ months) 🔗 Let's talk — message me with your stack, your scale, and your timeline.

I'm a ServiceNow Developer and Trainer with strong hands-on experience implementing various modules and building custom applications. CSA, CAD, CIS-Data Foundation, and CIS-Discovery certified, with many micro-certifications as well. I've been involved in complete ServiceNow project lifecycles, from initial requirements through to successful delivery. I have worked closely with international clients across different regions and time zones. I will provide services in the following ServiceNow-related areas (but not limited to): creating new modules and providing support for an existing system. JavaScript Scripting Client Scripts and UI Policies UI Actions Business Rules Script Includes and GlideAjax Service Catalogs and Record Producers SLAs Access Control List (ACLs) CMDB Import Sets and Data Import Notifications and mail scripts Dashboard and Reporting Portal Development and Customizations (Widgets, Pages) Incident, Problem, Knowledge, and Change Management HRSD (HR Cases, Tasks, and lifecycle events) ITSM (Incident, Problem, Change & Requests) ITAM (HAM & SAM) REST APIs (Outbound & Inbound) Chatbot / Virtual Agent App Engine Studio Teams, Slack, JIRA Integration Agentic AI, Now Assist

Engineer 7+ years with AI mind set delivering growing and long-term products for clients across the US, Israel, Japan... across domains like eCommerce, Fintech systems, adTech platforms, and enterprise web integrations. • Enterprise Systems: Role-based, Tenant-based systerm, Authentication follow, Design system,.. • eCommerce: Product catalogs, checkout + order flows, inventory sync,... • AdTech: Campaign builders, analytics dashboards, API integrations,... • Web Integration: Payment integration, Twilio, Firebase, Google APIs, legacy system migration,.. BACKEND: Java 11–25 · Spring Boot 2 & 3 & 4 · Kotlin · TypeScript · NestJS · Quarkus · Microservices · REST API · Firebase FRONTEND React.js · Angular · Vue.js · TypeScript · JavaScript · HTMX AI FIRST NATIVE Claude · Codex · windsurf DATABASE & MIGRATIONS PostgreSQL · MySQL · MongoDB · Liquibase · Flyway SECURITY & DEVOPS OAuth2 · Keycloak · SonarQube · Docker · GitHub Actions · CI/CD THIRD-PARTY INTEGRATIONS Stripe · PayPal · Myfatoorah · Twilio · Telnyx · Google APIs · Firebase API · Algolia Search · reCAPTCHA 100% Job Success Long-term client relationships End-to-end ownership from dev → test → deploy. Let's discuss your project.