Full-Stack & AI Developer | Next.js, AI Agents
- $25k+
- Earned
- 9x
- Hired
- 5.0
- Rating
- 61
- Followers
Full-Stack & AI Developer | Next.js, AI Agents
Another successful knowledge management migration completed.
This project involved migrating approximately 200 pages across 48 Quip files into Notion before Quip's sunset. Since there isn't a reliable way to automate the migration, I manually exported and rebuilt the content while preserving structure, formatting, and hierarchy.
To make the workspace more valuable than the original, I used Notion AI to organize information, extract action items, clean up documentation, and transform scattered notes into a searchable, future-ready knowledge base.
A smooth migration with zero compromise on content quality and a much better workspace for the team going forward.
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692
Webflow + AI Developer | Agents & Automation
AI Engineer —Interactive Websites & Scroll-Stopping AI Video
New to Contra
AI Engineer —Interactive Websites & Scroll-Stopping AI Video
ViralFlow AI — AI Social Media Automation System
I built ViralFlow AI, an automated social media content system designed to turn content ideas into ready-to-publish videos and distribute them across multiple social platforms.
The system combines AI content generation, video creation, workflow automation, and social media publishing into one streamlined workflow.
What it does
• Generates social media video concepts and content with AI
• Creates engaging videos using Veo 3
• Generates captions, descriptions, and hashtags
• Automatically prepares content for different platforms
• Publishes and schedules content across Instagram, TikTok, and Facebook
• Automates repetitive content-production tasks
• Connects multiple AI and social media services through automated workflows
• Helps maintain a consistent social media publishing pipeline
Workflow
Idea/Input → AI Content Generation → Veo 3 Video Creation → Content Optimization → Social Media Publishing → Automated Distribution
Tech Stack
n8n • OpenAI • Veo 3 • Blotato • Social Media APIs
The goal was to create more than a simple content generator — it was to build an automated content pipeline that reduces manual work and makes consistent multi-platform publishing easier.
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Smart WhatsApp AI Chatbot Automation
Designed and developed a fully automated WhatsApp AI chatbot system that transforms how businesses handle customer communication and operations. This solution connects WhatsApp with core business workflows, enabling real-time responses, intelligent appointment scheduling, seamless order processing, and automated follow-ups — all without manual intervention.
The system leverages n8n automation workflows, OpenAI API, webhooks, and custom API integrations to create a scalable and efficient backend. Customer inquiries are intelligently understood and routed, allowing businesses to capture customer information, manage support queries, and process transactions directly within WhatsApp.
The focus of this project was to build a clean, reliable, and production-ready automation system that reduces response time, improves customer experience, and streamlines internal operations. The architecture is modular, making it easy to extend with additional integrations and business logic as needed.
This project reflects a modern AI automation approach, combining conversational AI with workflow automation to create a powerful, real-world business solution.
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I designed and developed a complete AI Interview Intelligence Suite that brings 10 specialized AI agents together within a single platform.
Instead of building a single chatbot, I created a coordinated multi-agent system where each agent focuses on a specific stage of the interview journey—from resume preparation and company research to technical practice, behavioral interviews, mock interviews, question prediction, and salary negotiation.
The platform includes AI Interview Coach Pro, Live Coding Interview, Behavioral Interview Trainer, Salary Negotiation Coach, Technical Question Bank, Resume Tailoring Tool, Mock Interview Assistant, Interview Cracker, Interview Question Predictor, and Company Research Assistant.
The system was developed primarily for educational and practical interview preparation, with a focus on creating specialized AI experiences rather than relying on one general-purpose assistant.
Tech Stack: Python, Node.js, RAG, AI/LLM APIs, and Multi-Agent Architecture.
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Your Next Product Ad Should Make People Stop Scrolling.
Imagine turning an ordinary skincare product into a premium commercial that captures attention from the very first second.
For this project, I created POREZERO, a fictional charcoal peel-off mask brand, and developed its visual identity and product advertisement concept.
From premium product presentation to satisfying close-up visuals, the goal was to make the product feel like a campaign from a real beauty brand.
Have a skincare, beauty, or cosmetics brand? I can help you turn your products into eye-catching advertising content for social media.
I'm available to collaborate with brands, startups, and agencies looking for creative product commercials.
Let's make your product impossible to ignore.
#ProductAdvertising #SkincareMarketing #AICommercials #ProductVideo #CreativeAds
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AI Automation Architect | Founder @ Kalvore
Web Development, GHL & AI Automation
Production-ready AI agents and SaaS built to scale reliably.
- $50k+
- Earned
- 4x
- Hired
- 132
- Followers
Production-ready AI agents and SaaS built to scale reliably.
LawShark — AI-Powered Legal Document Analysis Platform
Making legal document review faster, more accessible, and cost-effective through AI.
The Challenge
Legal document review is often time-consuming, expensive, and difficult for individuals and businesses without specialized legal expertise.
Users struggle to interpret complex legal language, identify important clauses, and manage multiple documents efficiently. Traditional legal consultations can also add significant costs and delays.
LawShark needed an intelligent platform that could simplify document analysis while providing secure access to legal information.
Our Solution
We developed LawShark, an AI-powered LegalTech platform designed to streamline legal document workflows.
Key features included:
• AI Document Analysis: Analyze legal documents and identify important clauses, risks, and relevant information.
• Automated Summaries: Transform complex legal content into clear, easy-to-understand summaries.
• AI Legal Assistant: Provide real-time AI assistance to help users understand legal documents.
• Smart Document Management: Organize and access legal files through an intuitive dashboard.
• Secure Document Storage: Protect sensitive legal information while maintaining convenient access.
The Results
LawShark delivered measurable improvements in legal document workflows:
• 75% faster legal document processing.
• 60% reduction in dependency on costly legal consultations.
• 88% accuracy in AI-generated legal insights.
The platform helped users navigate complex legal documentation more efficiently while reducing manual effort and improving accessibility.
Technology & Capabilities
Artificial Intelligence · Natural Language Processing (NLP) · Document Analysis · AI Chat · Secure Document Management · SaaS
Key Takeaway
LawShark demonstrates how AI can simplify complex professional workflows. By combining intelligent document analysis, real-time assistance, and secure document management, we created a scalable LegalTech solution that makes legal information easier to understand and manage.
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426
AutoStudio Pro — AI-Powered Vehicle Photography SaaS
Transforming ordinary car photos into professional, dealership-ready images using AI.
The Challenge
Car dealerships rely on high-quality vehicle photos to attract buyers, but professional photography is expensive, time-consuming, and difficult to scale.
Inconsistent lighting, cluttered backgrounds, and poor framing often make vehicle listings look less appealing, especially for dealerships managing large inventories.
The goal was to create an automated solution that could produce consistent, professional-looking vehicle images without traditional studio photography.
Our Solution
We developed AutoStudio Pro, an AI-powered SaaS platform built with Next.js and Google Nano Banana Pro.
The platform enables dealerships to upload vehicle photos and transform them into polished marketing assets through an automated AI workflow.
Key features included:
• AI Background Replacement: Transform ordinary dealership photos into professional studio-style images.
• Image Enhancement: Improve vehicle presentation through automated framing, polishing, and visual consistency.
• Multi-Agent AI Workflow: Coordinate image-processing tasks to produce consistent results.
• Custom Branding: Apply dealership watermarks for branded vehicle listings.
• Simple Upload Experience: Enable users to generate professional images without editing expertise.
The Results
AutoStudio Pro simplified vehicle photography and content preparation for dealerships.
• Turned ordinary vehicle photos into studio-quality listing assets.
• Reduced the need for manual photo editing and professional studio shoots.
• Created more consistent, branded visuals across vehicle inventories.
• Streamlined image preparation through an automated SaaS workflow.
Tech Stack
Next.js · Google Nano Banana Pro · Generative AI · Image Processing · Multi-Agent AI Workflows
Key Takeaway
AutoStudio Pro demonstrates how AI can transform a time-consuming business process into a scalable, user-friendly product. By combining generative AI with a streamlined SaaS experience, we made professional vehicle imagery more accessible to dealerships.
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427
Blue 360 Media — E-Commerce Modernization with React & Salesforce
Transforming a legacy legal publishing storefront into a modern, reliable, and CRM-connected e-commerce platform.
The Challenge
Blue 360 Media provides specialized legal publications for law enforcement professionals. Its existing Laravel-based platform made it difficult for customers to find jurisdiction-specific products, while inefficient Salesforce integrations and complex checkout workflows created operational challenges.
The goal was to simplify product discovery, modernize the shopping experience, and improve the reliability of backend integrations.
Our Solution
We developed a modern e-commerce platform using React and AWS Amplify, focusing on usability, performance, and seamless integrations.
Key improvements included:
• Smarter Product Search: Improved catalog navigation with state-specific and jurisdiction-based filtering.
• Salesforce Integration: Implemented paginated API calls for more efficient product data retrieval and integrated shipping information.
• Streamlined Checkout: Built reliable cart, shipping, and promotional code workflows.
• Payment Integration: Integrated Authorize.Net (http://Authorize.Net) and Braintree for payment processing.
• Modern Architecture: Replaced legacy frontend workflows with a more flexible React-based experience.
The Results
The modernization delivered a smoother shopping experience and more efficient commerce operations.
• Simplified product discovery for specialized legal publications.
• Reduced unnecessary data retrieval through Salesforce API pagination.
• Improved checkout reliability and payment workflows.
• Strengthened integration between the storefront and Salesforce.
Tech Stack
React · AWS Amplify · Salesforce · Authorize.Net (http://Authorize.Net) · Braintree · REST APIs
Key Takeaway
Blue 360 Media's transformation went beyond a visual redesign. By modernizing its architecture and connecting critical commerce systems, we delivered a more dependable e-commerce experience tailored to the needs of legal and law enforcement customers.
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416
Multi-Tenant CMS and Website Platform for Multi-Brand Organizations
Description:
A production-ready multi-site CMS that lets one team run many branded websites from a single admin. It includes tenant isolation, a block-based page builder, automated WordPress migration, AI-assisted page building, and AWS infrastructure.
The challenge:
The client needed to manage many separate websites from one CMS. Each site had its own domain, theme, content and users. The platform had to do four things at once:
• keep tenants fully isolated from each other
• give editors reusable building blocks instead of one-off pages
• make moving existing WordPress sites in fast instead of a manual rebuild
• run reliably in production, not just work as a prototype
What I built:
1. Multi-tenant Payload CMS.
Tenant isolation, per-tenant domains and themes, and role-based access control, so every brand stays separate within one admin.
2. Block-based page builder.
Reusable content blocks, plus blog and form support, so editors build pages without a developer.
3. WordPress migration automation.
Existing sites are imported automatically, and content import and export runs through structured workflows.
4. AI-assisted page and component generation.
Claude turns screenshots and layouts into ready-to-use pages and components, which speeds up new-site setup.
5. Performance and SEO.
Static site generation with Next.js, semantic HTML, and Tailwind CSS for fast, search-friendly pages.
6. Production AWS infrastructure.
Defined in CloudFormation with RDS (PostgreSQL), S3, CloudFront, ACM, SES, Lambda and WAF, with separate staging and production environments.
7. Production-readiness work.
Improvements to admin UX, data workflows, environments and infrastructure security, plus Playwright in the tooling.
The outcome:
The product went from concept to a production-ready multi-site platform. One team can now launch and run many branded websites from one place. Each site is isolated, fast and SEO-friendly. Migrations and new builds take a fraction of the manual effort.
Key takeaway:
A white-label CMS only scales when flexible content tooling comes with real production engineering: isolation, migrations, infrastructure and security.
Good fit for: agencies, franchises, multi-brand organizations, and SaaS teams managing many websites from one platform.
Skills and tools used:
Next.js · Payload CMS · PostgreSQL · Tailwind CSS · AWS · CloudFormation · CloudFront · RDS · S3 · Lambda · SES · WAF · Playwright · Claude API · Multi-Tenant SaaS · Headless CMS · WordPress Migration · SEO
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Backend, DevOps & AI Engineer | NestJS, TypeScript, AWS
A college football roster is more than a list of stats when the goal is a Madden-ready draft class. For GridIronGC, I built the Node.js/TypeScript backend, conversion pipeline, and API, with Python stages and OpenAI-assisted data normalization. The live SaaS supports manual conversion, bulk uploads, and draft-class organization.
I shared the real product screens and backend context in the case study: https://contra.com/p/3qRLLQ6c-grid-iron-gc-or-ai-assisted-player-conversion-backend
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802
ESG reporting is a workflow problem as much as a data problem: teams need applicability rules, evidence, consolidation, review, and approvals before a report is ready.
For OriginSustain, I built NestJS/TypeScript backend services, PostgreSQL and Redis/BullMQ processing, and AWS/Docker delivery with CI/CD. OpenAI API and RAG support part of the reporting flow. The screens here are from the product’s illustrative command center; the numbers are demo values, not client outcomes.
The full backend case study: https://contra.com/p/WvNXbmQR-origin-sustain-or-multi-tenant-esg-reporting-backend
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Creative Developer
Hello everyone,
This is another project I’m excited to share here on Contra.
I recently built NeuraBot, a simple and interactive AI chatbot platform created to learn, explore, and understand how chatbots actually work.
The platform includes:
• API-powered intelligent responses
• Clean and minimal UI for smooth user interaction
• Real-time chatbot training & testing
• A modern, user-friendly design built for both beginners and developers
This project helped me improve my skills in API integration, AI workflows, and UI/UX refinement.
I’m continuing to enhance NeuraBot and experiment with new features.
Would love your thoughts and feedback!
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ADsolve is my portfolio, built to show how I work with founders and growing businesses.
I help turn ideas and problems into working digital products, AI integrations and automation.
What you will find inside:
NowTutors, a tutoring marketplace built with Bubble
GreenLawn and FitForge, interface and frontend work
Experiments with AI and automation
A 50 second film where you can meet me
My approach is simple. Understand the problem first. Then engineer the solution. Then keep improving it.
Have an idea to build or a process to connect? Send me a message.
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FuelSense AI: A Smarter Way to Track Vehicle Expenses
Overview
FuelSense AI is an Android application I built to make vehicle fuel management easier. It brings vehicle records, fuel expenses, trip tracking, and driving analytics into one place.
The Problem
Fuel costs can be difficult to track over time. Drivers may struggle to keep their fuel records organized, understand their mileage, and estimate the cost of their next refill.
What I Built
I developed a mobile app with the following features:
Vehicle Management: Manage cars and motorcycles in one place.
Fuel Tracking: Record refills, fuel prices, and odometer readings.
Trip Tracking: Track journeys using GPS.
Driving Analytics: Review distance, fuel expenses, and mileage trends.
Refill Estimates: Calculate estimated remaining driving range and refill costs from recorded data.
My Approach
I focused on bringing these everyday tasks into a single workflow. The app combines fuel records, trip data, and expense analytics to help users understand their driving costs.
Current Status
FuelSense AI is currently in development and has not been publicly deployed. I am continuing to test the calculations and improve the tracking experience.
Project Focus
This project demonstrates my approach to building practical mobile applications around real-world problems, connecting multiple features, and exploring useful data-driven functionality.
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