Freelance AI Application Developers in AgegeFreelance AI Application Developers in Agege
One designer. Messy ideas to shipped, working products.
$1k+
Earned
1x
Hired
5.0
Rating
53
Followers
One designer. Messy ideas to shipped, working products.
Software engineer with expertise in DevOps and AI
$1k+
Earned
1x
Hired
5.0
Rating
9
Followers
Software engineer with expertise in DevOps and AI
Graphic Designer & 3D Animator
$1k+
Earned
1x
Hired
81
Followers
Graphic Designer & 3D Animator
Top 1% Mobile Apps and Web Designer
5.0
Rating
40
Followers
Top 1% Mobile Apps and Web Designer
Scaling Businesses with Captivating Designs - Jitter Expert
1x
Hired
5.0
Rating
40
Followers
Scaling Businesses with Captivating Designs - Jitter Expert
Creative Software Developer
5.0
Rating
8
Followers
Creative Software Developer
AI systems to automate and scale your business
New to Contra
AI systems to automate and scale your business
Cover image for AI Recruitment Automation Platform |
AI Recruitment Automation Platform | AI Resume Screening System, OpenAI, Supabase & Calendly Integration A fast-growing company needed an intelligent recruitment automation system to streamline their hiring process, reduce manual resume screening, and improve candidate response time. The goal was to build an AI-powered workflow that could automatically analyze CVs, summarize candidate profiles, schedule interviews, and update the hiring pipeline without recruiter intervention. To achieve this, I developed a full AI recruitment automation platform using Lovable, Supabase, OpenAI, and Calendly integration. The system was designed as a scalable AI SaaS-style workflow that connects candidate data ingestion, intelligent evaluation, and automated scheduling into a single seamless pipeline. Using OpenAI API, the platform performs AI resume screening by extracting key skills, experience levels, and job relevance from uploaded CVs. It then generates structured candidate summaries that help hiring teams make faster, data-driven decisions. This significantly reduced manual screening workload and improved hiring efficiency. Supabase was used as the backend database to securely store candidate profiles, hiring stages, and interview data in real time. This enabled a structured recruitment pipeline with live updates and seamless data synchronization across the system. I also integrated Calendly to automate interview scheduling, allowing shortlisted candidates to instantly book interview slots without recruiter involvement. This eliminated back-and-forth communication and accelerated the hiring process. Lovable was used to rapidly build and deploy the AI web application interface, creating a clean and intuitive dashboard for recruiters to manage applicants, track progress, and view AI-generated insights. Key features included: AI resume screening and analysis Automated candidate summarization AI recruitment workflow automation Intelligent hiring pipeline management OpenAI-powered candidate evaluation Supabase backend integration Calendly interview scheduling automation AI SaaS recruitment platform Full-stack AI web application Workflow automation for HR teams AI-powered decision support system Recruitment pipeline automation Scalable AI hiring assistant No-code/low-code AI deployment with Lovable End-to-end hiring process automation This project modernized the client’s recruitment process by introducing AI-driven automation, reducing hiring time, improving candidate quality assessment, and creating a scalable recruitment workflow powered by generative AI and intelligent systems.
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Cover image for AI Booking & Scheduling Assistant
AI Booking & Scheduling Assistant for Consultants The client needed a better way to manage appointment bookings, client onboarding, and calendar coordination without spending hours handling administrative tasks manually. Their scheduling process involved constant back-and-forth communication, missed bookings, and manual follow-ups, which slowed down operations and affected the client experience. To streamline the process, I developed an AI-powered booking and scheduling assistant that automated appointment management from start to finish. Using Calendly and Google Calendar, I created a seamless scheduling system that allowed clients to book available time slots automatically while keeping calendars synced in real time. I integrated OpenAI to generate intelligent responses, automate onboarding communication, and personalize confirmation and reminder messages. With Zapier, I connected the workflows across multiple platforms to automate appointment confirmations, reminder notifications, onboarding forms, and follow-up actions after meetings were completed. The automation helped the client: Eliminate manual scheduling tasks Reduce missed appointments and scheduling conflicts Automate reminders and onboarding communication Improve response times for new inquiries Keep calendars synchronized automatically Deliver a smoother booking experience for clients By implementing this system, the client was able to save time, improve operational efficiency, and focus more on consulting work instead of administrative coordination.
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Cover image for AI Email Outreach Automation System
My
AI Email Outreach Automation System My Role: AI Automation Developer Industry: Sales & Marketing Project Duration: 3 Weeks Project Cost: $800 Project Timeline: Started: January 2026 Completed: February 2026 Tools Used: Instantly, OpenAI, Apollo.io (http://Apollo.io), Make.com (http://Make.com) Project Description: The client was struggling with manual cold outreach and inconsistent follow-ups, which made it difficult to scale their lead generation efforts. Their sales team spent hours writing emails, tracking replies, and managing follow-ups manually, leading to low response rates and missed opportunities. To solve this, I built a fully automated AI-powered email outreach system that streamlined the entire outbound process from lead sourcing to follow-up management. Using Apollo.io (http://Apollo.io), I automated lead sourcing and segmentation based on the client’s target audience. I then integrated OpenAI to generate personalized cold emails tailored to each prospect, helping the campaigns feel more human and relevant at scale. With Make.com (http://Make.com), I connected the entire workflow into one automated system that handled email sequencing, follow-up triggers, response tracking, and engagement monitoring. Instantly was used to manage campaign delivery and improve outreach performance. The automation allowed the client to: Reduce manual outreach work significantly Send highly personalized emails at scale Automate follow-ups without human intervention Track lead engagement in real time Improve response and conversion rates Create a scalable outbound lead generation process By the end of the project, the client had a more efficient sales workflow, faster outreach operations, and a reliable system for generating and nurturing leads automatically.
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Cover image for AI Internal Knowledge Base Assistant
A
AI Internal Knowledge Base Assistant A growing company was facing challenges with internal knowledge management. Team members constantly struggled to find the latest SOPs, onboarding documents, operational guidelines, and company resources across multiple platforms. This led to repeated questions, wasted time, slower onboarding, and operational inefficiencies across departments. The client needed an AI-powered internal assistant that could centralize company knowledge and allow employees to instantly retrieve accurate information without manually searching through documents and folders. To solve this, we developed a custom AI internal knowledge base assistant using OpenAI, Notion, Slack, and Zapier automation workflows. The system was designed to connect the company’s operational documentation stored in Notion with an AI-powered conversational assistant accessible directly inside Slack. Employees could ask questions in natural language and instantly receive contextual answers, summaries, SOPs, and process guidance in real time. We automated the synchronization of internal documentation so the assistant could continuously reference updated company information without requiring manual maintenance. This helped ensure teams always had access to the latest operational knowledge and procedures. One of the biggest challenges was improving response relevance while keeping answers concise and easy for teams to understand. We addressed this by implementing structured AI prompting, intelligent workflow automation, and optimized knowledge retrieval processes to improve answer accuracy and consistency. The final solution significantly reduced repetitive internal support requests, improved team productivity, accelerated onboarding, and streamlined access to operational knowledge across the organization. Tools & Technologies OpenAI API Notion Slack Zapier AI Automation Workflow Automation AI Knowledge Base API Integration Conversational AI Services Included AI assistant development Internal knowledge base automation Slack AI assistant integration Notion integration Workflow automation setup AI chatbot development Business process automation Team productivity automation AI-powered documentation retrieval
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Product Engineer | I Turn Ideas into MVPs. Fast
Product Engineer | I Turn Ideas into MVPs. Fast