You will get an AI-powered MVP with Lovable and the Claude API
Project details
Got an idea but no technical co-founder? I scope, build, and ship AI-powered MVPs designed to hold up under real users, not just look good in a demo.
I've independently built and launched five AI products solo: a six-module AI job-search platform, a production SaaS app with live Stripe payments and Google OAuth, an AI chatbot-powered career site, a sports analytics platform, and an automated agentic workflow tool.
Before I build anything, I map the user flows and data model first, because my background is 15 years of enterprise program management, not just prompting. You get a build partner who thinks about what breaks at scale, not a freelancer executing blind off a one-line brief.
I've independently built and launched five AI products solo: a six-module AI job-search platform, a production SaaS app with live Stripe payments and Google OAuth, an AI chatbot-powered career site, a sports analytics platform, and an automated agentic workflow tool.
Before I build anything, I map the user flows and data model first, because my background is 15 years of enterprise program management, not just prompting. You get a build partner who thinks about what breaks at scale, not a freelancer executing blind off a one-line brief.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Regression AnalysisAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AIOps, Conversational AIAI Development Language
PythonAI Tools
ReplitAI Models
ChatGPT, GPT-3, GPT-4, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$650
|
Standard
$1,900
|
Advanced
$3,750
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 21 days |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$250 - $1,250
Additional Feature
(+ 3 Days)
+$350Frequently asked questions
About Chinedu
RevOps Consultant and AI MVP Builder Ex AWS 920M Pipeline
Frisco, United States - 4:24 pm local time
On the RevOps/renewals side: At AWS Marketplace, I was the first dedicated owner of a $920M+ renewals program spanning 500+ ISV partner stakeholders — building the churn/retention strategy, GRR/NRR tracking, centralized KPI dashboards (eliminating 75% of manual reporting), and quarterly QBR cadence from scratch, and driving 165% YoY growth in renewed TCV. I also built AWS Support Engineering's first data-driven capacity/demand model, replacing a flat staffing target with a validated model adopted by L8 leadership for annual workforce planning.
On the AI build side: I've independently scoped, built, and shipped five live AI-powered products with no development team — including a six-module AI job-search platform (ClearPath), a production SaaS app with live Stripe payments and Google OAuth (CaptionOS), and a RAG-powered chatbot site (meetChinedu dot com) — all on Lovable, the Claude API, and Supabase.
The through-line across both: 15+ years of taking ambiguous, high-stakes problems and building working systems around them, whether that system is a renewals operating model or a shipped MVP.
What I can do for you:
Renewals lifecycle management, churn/retention strategy, forecasting frameworks
KPI dashboard design, Salesforce CRM workflow cleanup and reporting
Capacity, quota, and demand-planning models grounded in real usage data
Full-stack AI MVP builds on Lovable — auth, database, payments, AI features, deployed and live
AI feature integration (Claude API) into existing products — chatbots, RAG search, content generation
Product/technical scoping if you're not ready to build yet and need the plan first
MBA (SMU Cox). Google AI Professional Certificate. IBM Program Manager Professional Certificate. Comfortable working solo with minimal oversight — I scope it, build it, and ship it.
Steps for completing your project
After purchasing the project, send requirements so Chinedu can start the project.
Delivery time starts when Chinedu receives requirements from you.
Chinedu works on your project following the steps below.
Revisions may occur after the delivery date.
Scoping call
We align on target users, the core problem, must-have features, and which package fits before any build work starts.
Requirements & data model
I map the user flows and data structure and share a short brief for your sign-off, so the foundation is right before I build on it.