MLOps, AI Deployment & DevOps Solutions
I specialize in AI/ML development, integration, and production deployment with a strong focus on DevOps and cloud infrastructure.
With hands-on experience in:
AI/ML Model Deployment (TensorFlow, PyTorch, Scikit-learn)
Backend Development & APIs (Flask, FastAPI)
Frontend Integration (React, Static Hosting)
Cloud Platforms & DevOps (AWS, Azure, Kubernetes, Docker, Elastic Beanstalk, S3, RDS, Terraform)
CI/CD Pipelines & Automation (Jenkins, GitHub Actions, Azure DevOps)
I deliver scalable, secure, and production-ready solutions, ensuring smooth deployment and reliable operation of AI systems.
I follow milestone-based work, clear communication, and timely delivery, helping startups and enterprises bring AI applications from concept to production.
Work Terms
- Clear and regular communication throughout the project
- Milestone-based or hourly work (as per platform policy)
- Work starts after requirement discussion and milestone confirmation
- Clean, scalable, and secure code delivery
- Basic documentation included
- Post-deployment support (limited period)
- Client data and credentials remain confidential
I focus on delivering reliable Full Stack and DevOps solutions using AWS, Azure, Docker, Kubernetes, Terraform, CI/CD, and Linux environments.