You will get AI-powered automation or backend system to boost productivity
Project details
You will get a complete, production-ready AI and Backend solution built with scalability, performance, and reliability at its core.
With over 6 years of experience in backend engineering and applied AI/ML, I specialize in turning complex ideas into clean, modular, and high-performance systems.
From building intelligent APIs, data-driven systems, and ML pipelines to containerized deployments using Docker or Podman, I ensure your product is built to modern standards — optimized, documented, and easy to scale.
Whether you’re launching a startup MVP, improving an existing system, or integrating AI features into your backend, I handle everything — from architecture design and model integration to deployment and optimization.
Every line of code I deliver is well-structured, maintainable, and secure, following industry best practices with clear documentation and version control.
My goal is to help you launch faster and more confidently, with solutions that are not just functional — but future-proof.
Clean, modular architecture (Node.js, Python, FastAPI, Express, MongoDB, PostgreSQL), AI/ML integration (TensorFlow, Scikit-Learn, OpenAI APIs, LangChain)
With over 6 years of experience in backend engineering and applied AI/ML, I specialize in turning complex ideas into clean, modular, and high-performance systems.
From building intelligent APIs, data-driven systems, and ML pipelines to containerized deployments using Docker or Podman, I ensure your product is built to modern standards — optimized, documented, and easy to scale.
Whether you’re launching a startup MVP, improving an existing system, or integrating AI features into your backend, I handle everything — from architecture design and model integration to deployment and optimization.
Every line of code I deliver is well-structured, maintainable, and secure, following industry best practices with clear documentation and version control.
My goal is to help you launch faster and more confidently, with solutions that are not just functional — but future-proof.
Clean, modular architecture (Node.js, Python, FastAPI, Express, MongoDB, PostgreSQL), AI/ML integration (TensorFlow, Scikit-Learn, OpenAI APIs, LangChain)
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Keras, MLflow, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Extral Integrator or API
(+ 3 Days)
+$50
Detailed Technical Documentation (PDF)
(+ 1 Day)
+$30
One-Month Maintenance & Optimization
+$75Frequently asked questions
About Victor
AI & Backend Automation Engineer | Python, Node.js, API Integration
Anambra, Nigeria - 6:11 pm local time
I’ve developed automations that reduced manual tasks by up to 60%, integrated AI models for smarter workflows, and built secure APIs for startups and enterprise projects. My focus is always on writing clean, well-documented, and maintainable code that supports long-term growth.
Core Skills:
AI Integrations (OpenAI, LangChain, ChatGPT APIs, Gemini)
Backend Development (Node.js, FastAPI)
Process & Workflow Automation
Database Design and Optimization
Cloud & Linux Deployment (Docker)
Let’s collaborate to bring your idea to life with intelligent, efficient automation.
Steps for completing your project
After purchasing the project, send requirements so Victor can start the project.
Delivery time starts when Victor receives requirements from you.
Victor works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering & Analysis
I’ll review all provided project materials, clarify goals, and outline the technical requirements, architecture, and timelines.
Environment Setup & Architecture Design
Set up development and testing environments, design the backend or AI model architecture, and configure necessary tools (e.g., Docker, GitHub, cloud services).