Scalable AI-driven software: Microservices & DevOps
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About this service
Summary
Process
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)
Recommended
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.
Recommended
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