AI | Automation Specialist

Responsibilities: Design, build, and optimize automated workflows (Zaps) to connect different software tools. Analyze business processes and identify opportunities for automation. Ensure data flows accurately between apps (CRM, email marketing, project management, etc.). Troubleshoot and maintain automations to prevent errors or data loss. Train team members or clients on using Zapier effectively. Collaborate with operations, marketing, sales, or customer success teams to streamline workflows. Skills Required: Strong understanding of workflows, data mapping, and process automation. Familiarity with business tools (Google Workspace, Slack, HubSpot, Salesforce, Airtable, etc.). Problem-solving and logical thinking. Basic knowledge of APIs or webhooks (helpful, but not required). Ability to document and communicate automation processes clearly.

⭐ Make.com Automation Expert I help businesses automate their workflows, eliminate repetitive tasks, and connect all their apps and systems using Make.com, APIs, and smart automation design. If you want to save time, reduce errors, and build a smooth, hands-free process, I can automate it for you. ???? What I Do I build powerful Make.com scenarios that automate: ✔ CRM updates & lead management ✔ E-commerce order processing ✔ Notifications & messaging ✔ Data syncing across multiple systems ✔ AI-powered content and decision flows ✔ File management & reporting ✔ Custom API integrations ✔ Any repetitive process you want automated Tell me your workflow — I’ll map it, optimize it, and turn it into a reliable automation. ???? My Core Skills Advanced scenario building & mapping Iterator, Router, Aggregator & advanced modules Complex data transformation (JSON, arrays, variables) Webhooks (instant triggers, custom payloads) API integrations (REST, OAuth2, API Keys, Basic Auth) Error handling, retries & cycle optimization Scheduling, delays & conditional logic Functions & formulas inside Make.com File and binary data handling AI integrations (OpenAI, Claude, Gemini) ???? Integrations I Work With Google Workspace • Notion • Airtable • HubSpot • Shopify • WooCommerce • ClickUp • Monday • Trello • Slack • Discord • Telegram • Stripe • Zoho • Pipedrive • Facebook/Meta • CRMs • ERPs • Custom APIs (If it has an API, I can connect it.) ???? Technical Capabilities Scenario debugging and optimization Building scalable, modular automation systems Make.com error management & monitoring Database integrations (MySQL, PostgreSQL, SQL Server) App scripting & advanced logic Self-hosted + cloud webhook handling Parsing XML/JSON/CSV and transforming data structures ???? Why Clients Work With Me Clear communication & fast response Deep understanding of operations and business logic Clean, scalable, and maintainable automations Proactive suggestions — not just task execution 100% focus on reducing manual workload High reliability and long-term consistency Whether you need to automate one workflow or build a full automation ecosystem, I can help with strategy, architecture, implementation, and maintenance.

???? Core Components Trigger (Input Event) Starts the workflow. Could be: a new email received, a form submission, a sensor or IoT signal, a scheduled time, data ingestion, and preprocessing. Collects raw data from sources (documents, APIs, databases). Cleans, transforms, and enriches it for AI models. AI Model / Decision Engine Applies intelligence: NLP for text classification/sentiment Computer Vision for image recognition Predictive models for forecasting LLMs for summarization or generation Automation / Orchestration Layer Executes tasks based on AI output: Robotic Process Automation (RPA) to enter data API calls to other systems Database updates Notifications or approvals Human-in-the-Loop (Optional) Sends uncertain cases to humans for review. Captures feedback to retrain/improve AI. Output & Integration Final action delivered: Email reply generated. Report created. The ticket was resolved in the service desk. Business decision executed, Monitoring & Optimization Tracks workflow performance (accuracy, latency, cost). Provides a feedback loop to improve AI models.