Olalekan Ridwanullah

🛡 VERIFIED

Ai Automation Engineer

📍 United states

freelance

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

Day rate

$200-500/day

Timezone

UTC+0 (GMT)

Languages

English, Arabic, Spanish, French

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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

Automation and workflowsCoding and developmentData analysisDocument processingAPI integrationEducation and training

GitHub

@ridwanolalekan224-commits→

COMMITS / 90D

PUBLIC REPOS

LAST 12 WEEKS

Projects

AI-Powered School Fees Management & Receipt Automation System

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I 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.

OUTCOMEThe system significantly reduced manual administrative work, improved accuracy in financial tracking, and accelerated receipt generation. It enabled faster processing of student payments and provided clear visibility into financial records, making it easier for school administrators to manage operations efficiently.

AI-Powered Lead Automation Workflow on Make

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I 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.

OUTCOMEHot 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

Proof of work (1)

ridwanolalekan224-commits · GitHub

ridwanolalekan224-commits has one repository available. Follow their code on GitHub.

A1 · inferred

Skills and tools

LANGUAGES

SwiftSQLJavaScriptPythonC#

FRAMEWORKS

Reactn8nMakeFirebaseVercelZapierDocker

AI TOOLS

ElevenLabsMidjourneyWindsurfWeaviateLovableClaude Code

OTHER LLMS

ChatGPT / GPT-4PerplexityGrokGemini

DOMAINS

LegalHealthcareFinanceMarketingReal estateE-commerceCustomer supportHREducationMediaGamingResearch

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