Olalekan Ridwanullah
🛡 VERIFIEDAi Automation Engineer
📍 United states
AI Automation Engineer specializing in building intelligent systems that streamline workflows, integrate APIs, and solve real-world business problems using machine learning and automation.
Profession
Developer
Seniority
Mid-level
Work type
Open to all
Day rate
$200-500/day
Timezone
UTC+0 (GMT)
Velocity Score
⚡ 65/100
Languages
English, Arabic, Spanish, French
About
I build AI-powered automation systems that help businesses reduce manual work, improve efficiency, and scale operations. My work includes designing workflow automations, integrating APIs and webhooks, and developing machine learning solutions for data-driven decision-making. I focus on solving problems like repetitive operational tasks, inefficient data handling, and lack of intelligent insights. I’ve worked on projects such as automated school payment systems, data processing pipelines, and AI-driven tools for workflow optimization. I typically work with startups, small businesses, and digital teams looking to leverage AI to improve productivity and decision-making.
AI use cases
Projects
AI-Powered School Fees Management & Receipt Automation System
ViewI built an automated school payment system that manages student fee records, tracks payments, and generates structured digital receipts. The system streamlines administrative workflows by organizing student data, calculating balances, and producing real-time payment summaries using Google Sheets and Apps Script.
HOW CLAUDE WAS USED
I integrated AI-driven logic to enhance data processing and automate decision-making within the workflow. This includes intelligent validation of payment entries, automated categorization, and using AI-assisted scripting to optimize receipt generation and workflow triggers. I also leveraged AI tools to improve system efficiency, reduce human error, and enable scalable automation.
AI-Powered Lead Automation Workflow on Make
ViewI built an automated lead management workflow on Make that takes form submissions, organizes them in Google Sheets, filters hot leads from normal leads, and notifies the team in real time via a Telegram bot. This ensures that high-priority leads are handled immediately while routine leads are tracked efficiently.
HOW CLAUDE WAS USED
AI-assisted logic was applied to automatically categorize leads based on predefined criteria, ensuring that hot leads are flagged accurately. The workflow optimizes decision-making by reducing manual sorting and instantly routing leads to the right channels.
Skills and tools
LANGUAGES
FRAMEWORKS
AI TOOLS
OTHER LLMS
DOMAINS
Build Feed (5)
View all →Marketing Campaign Lead Segmentation Automation
→ * High-priority leads received instant notifications, reducing follow-up time by 70% * Lead management became 100% automated across multiple channels * Sales team converted 25% more leads within the first two weeks
Customer Support Ticket Routing
→ * 80% of tickets automatically assigned to the correct team * Response time for high-priority tickets reduced by 50% * Support team saved ~12 hours per week on manual ticket sorting
Automated School Fee Reminder System ↗
→ 90% of fee reminders were sent automatically without manual intervention Late payments reduced by 60% within the first month Saved ~10 hours per week for the administrative team
I build alert reminders for tasks
→ Workers are being alerted on due tasks
AI-Powered Lead Automation Workflow on Make ↗
→ Hot leads are notified instantly via Telegram, improving response time Reduces manual data entry and filtering by 100% Provides a clear, organized Google Sheet record of all leads Enables the team to focus on high-priority leads while tracking routine submissions efficiently
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