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Igor – Workflow Automation, SQL, Webhooks, experts in Lemon.io

Igor

From Brazil (UTC-3)flag

AI Automation Architect|Middle-to-senior

Igor – Workflow Automation, SQL, Webhooks

Igor Leandro is a strong mid-level AI Automation Architect with hands-on experience delivering workflow automation solutions using n8n, SQL, webhooks, and AI API integrations. He has independently built and shipped operational automation systems for startups, demonstrating strong ownership, practical troubleshooting, and a product-focused mindset. His experience is integration- and automation-oriented, with strengths in end-to-end delivery and multi-market localization.

6 years of commercial experience in
AI
Analytics
Communications
Customer support
Gambling
Marketing
Productivity
Sales
CRM
SaaS
Main technologies
Workflow Automation
1.5 years
SQL
3 years
Webhooks
3 years
AI API integration
1 year
n8n
1 year
Additional skills
Lovable
Airtable
Stripe API
REST API
Google Maps API
OpenAI API
Supabase
Direct hire
Possible
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Experience Highlights

AI Automation Engineer
Feb 2026 - Ongoing2 months
Project Overview

An automation platform that monitors sports data provider email alerts and transforms unstructured incident notifications into a structured, multi-language knowledge base for customer support. It serves 6 international markets across Europe and Latin America, handling betting incidents such as wrong scores, VAR decisions, and market voids, and generating pre-written resolution messages in 6 languages with automatic timezone conversion so support agents can resolve customer queries without leaving the support platform.

Responsibilities:
  • Designed and built a 24/7 email ingestion pipeline using Gmail API with service account Domain-Wide Delegation, eliminating manual mailbox monitoring entirely;
  • Engineered LLM-powered data extraction with AWS Bedrock (Claude 3.5 Haiku) to parse unstructured incident alerts and normalize team names for improved searchability;
  • Built a multi-language localization engine generating customer-facing resolution messages simultaneously in 6 languages (PT, RO, EL, SR, PL, EN) with automatic timezone conversion (UTC → BRT, EET, CET);
  • Designed the Zendesk Custom Objects schema and integrated the full pipeline via REST API, creating a deduplicated, searchable incident library across 6 market instances;
  • Developed a JavaScript sidebar app inside the support platform with incident filtering by date, sport, and match name, one-click message insertion into open tickets, and automatic conversation tagging on each search action to track adoption and measure real-world usage;
  • Reduced Level-1-to-Trading team escalations for voided-market queries by enabling agents to self-serve incident data without switching tools.
Project Tech stack:
n8n
AI API integration
Google API and Services
JavaScript
REST API
AI Automation Engineer
Jan 2026 - Ongoing3 months
Project Overview

An automation suite for an Account Protection & Recovery team operating across 5 markets. It automatically creates Jira tickets from Slack workflow submissions, syncs thread replies bidirectionally between Slack and Jira in real time, and posts Jira status changes and assignments back into the originating Slack thread for about 8,000 tickets per month across Romania, Poland, Belgium, Serbia, and Greece.

Project gallery:
Portfolio example for APR Automation Suite — Slack & Jira Integration by Igor Leandro, Automation Specialist
Portfolio example for APR Automation Suite — Slack & Jira Integration by Igor Leandro, Automation Specialist
Portfolio example for APR Automation Suite — Slack & Jira Integration by Igor Leandro, Automation Specialist
Responsibilities:
  • Designed and built 3 interconnected n8n workflows integrating the Slack Events API and Jira REST API end to end;
  • Implemented automated Jira ticket creation from Slack workflow submissions, populating 6+ custom fields (player ID, country, VIP status, label, Zendesk ticket, Slack thread URL);
  • Built bidirectional comment sync between Slack threads and Jira, including loop prevention, bot message filtering, and @mention resolution;
  • Developed real-time status and assignee change notifications from Jira back to Slack threads;
  • Implemented emoji-triggered ticket retry mechanism for failed creations without requiring agents to resubmit forms;
  • Built AFC/OPS label auto-assignment logic based on request type across all 5 markets;
  • Reduced manual Jira work to zero for ~8,000 tickets per month, so agents work entirely in Slack while Jira stays updated automatically.
Project Tech stack:
n8n
Jira
JavaScript
Webhooks
Workflow Automation
REST API
AI Automation Engineer
Jul 2025 - Jan 20266 months
Project Overview

An automation platform for a B2B specialty coffee sales consultancy operating across European and Australian markets. It replaced manual lead-generation and sales workflows with AI-driven automations that ran daily at scale, helping the team qualify prospects and process orders faster.

Responsibilities:
  • Built an automated lead-generation pipeline in n8n that scraped Google Maps for specialty coffee businesses across European cities, searched Instagram profiles via Google Search API, and used an AI agent to classify each business as a coffee roaster, multi-roaster, or specialty café — delivering 150+ qualified leads per day at 80% classification accuracy;
  • Designed the scraping architecture with Apify, including batch processing, rate limiting, and deduplication logic to ensure pipeline stability across 200 businesses processed daily;
  • Developed an order-processing automation triggered by a sales team web form; used GPT-4 to parse natural-language order messages into structured JSON, auto-generated a formatted Google Sheets order file per client, and synced inventory data — reducing order processing time from 30 minutes to under 1 minute;
  • Integrated Google Drive, Google Sheets, and OpenAI APIs within n8n to deliver a fully automated order fulfillment handoff with zero manual data entry.
Project Tech stack:
n8n
GPT-4
Google Maps API
Google API and Services
OpenAI API
JavaScript
AI Automation Engineer
Jul 2025 - Jan 20266 months
Project Overview

An internal sales operations platform built for a B2B specialty coffee consultancy and used daily across the organization. It replaced disconnected tools with a single hub for pipeline management, multi-timezone scheduling, reverse-funnel sales planning, team performance tracking, and structured onboarding.

Project gallery:
Portfolio example for TrHive Internal System by Igor Leandro, AI AUTOMATION ENGINEER
Portfolio example for TrHive Internal System by Igor Leandro, AI AUTOMATION ENGINEER
Portfolio example for TrHive Internal System by Igor Leandro, AI AUTOMATION ENGINEER
Portfolio example for TrHive Internal System by Igor Leandro, AI AUTOMATION ENGINEER
Responsibilities:
  • Built the entire platform from scratch using Lovable and Supabase, delivering a production-ready internal tool used daily by 8 users across sales, management, and operations;
  • Developed a multi-timezone meeting scheduler with Google Calendar sync, real-time availability display, and automatic detection of overlapping business hours across time zones;
  • Integrated Pipedrive via API to sync deal data into a custom pipeline board with stage-level tracking and revenue visibility across multiple client portfolios;
  • Built a reverse-funnel sales planning module that calculates required daily and weekly activity volumes per pipeline stage based on revenue targets, ticket size, and conversion rates;
  • Created a Sales Model Canvas with configurable cadence flows covering multi-channel outreach sequences (Instagram, Email), talk tracks, and reusable email templates;
  • Implemented a team performance dashboard tracking daily check-in rates, meeting completion versus targets, and individual KPIs visualized as weekly trend charts;
  • Designed a PDI (individual development plan) module enabling managers to set career goals, log feedback, and track employee development milestones over time;
  • Delivered a centralized document and credentials hub storing sales playbooks, onboarding scripts, and shared team access credentials.
Project Tech stack:
Lovable
Supabase
Google API and Services

Education

2020
Business Administration
Bachelor's

Languages

Portuguese
Advanced
Spanish
Upper-intermediate
English
Advanced

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