Scalable AI-driven software: Microservices & DevOps

Contact for pricing

About this service

Summary

I offer end-to-end development of scalable AI-driven cloud-native applications, integrating optimized AI models, high-performance backends, and responsive UIs. With expertise in machine learning, software development, and cloud computing, I build efficient, secure, and future-proof solutions tailored to your needs. My focus on cutting-edge technologies and seamless deployment ensures your application is both powerful and scalable.

Process

Process Summary
Consultation & Planning – Define goals, tech stack, and architecture.
Backend & AI Development – Build APIs, integrate AI models, and optimize performance.
Frontend Development – Create a responsive UI with seamless AI integration.
Deployment & DevOps – Deploy on AWS/Azure/GCP with CI/CD pipelines.
Testing & Optimization – Ensure security, speed, and reliability.
Launch & Handover – Deliver final product with documentation and support.
Post-Launch Support (Optional) – Continuous improvements and updates.

What's included

  • Fully Deployed Cloud-Native Application

    A scalable and production-ready AI-driven application deployed on AWS, Azure, or GCP using Docker & Kubernetes. Supports auto-scaling, high availability, and efficient resource management.

  • Optimized AI Model Integration

    AI/ML models optimized for real-time inference with TensorFlow, PyTorch, or custom LLMs. Integrated with APIs for seamless interaction with the application.

  • High-Performance Backend API

    REST or GraphQL API built with Django, NestJS, or FastAPI. Redis caching & database optimization (PostgreSQL, MongoDB) for fast responses.

  • Responsive & Interactive Frontend

    Modern UI/UX design using Next.js/React, Tailwind CSS, and Framer Motion. Fully responsive, ensuring a smooth user experience across devices.

  • Comprehensive Documentation & Codebase

    Well-documented code repository (GitHub/GitLab) with clean, maintainable code. API documentation using Swagger or Postman for easy integration.

  • Deployment & DevOps Setup

    CI/CD pipelines for automated testing, security checks, and seamless deployment. Infrastructure-as-Code (IaC) using Terraform or Ansible for reproducibility

Example projects

Recommendations

(5.0)

Salawu Joseph

Client • Mar 15, 2025

Abdulqoyyum is a highly skilled and versatile developer with expertise in frontend, backend, AI/ML, and deployment. He's a collaborative team player who consistently delivers high-quality results. I highly recommend him for any development project.

Ismael Kiprop

Client • Mar 15, 2025

I had the pleasure of working with Abdulqoyyum Aileru on multiple projects, including Climate Wavers, the Talan Global Hackathon, and A2SV Hackathon. Abdulqoyyum is an exceptional Fullstack Engineer, Backend Engineer, and ML Engineer who brings a deep understanding of system architecture, problem-solving, and efficiency to every project.He’s skilled, reliable, and a great team player. Highly recommend!


Skills and tools

ML Engineer

DevOps Engineer

Docker

Kubernetes

Python

TensorFlow

TypeScript