I will do mlops and cloud deployment AWS, azure, gcp

E
engfahid
E
engfahid
Fahid B
Alcune informazioni sono riportate in lingua inglese.

Informazioni su questo servizio

Your ML model works on your laptop but is it running reliably in production? I'll build the infrastructure around your model so it deploys automatically, scales cleanly, and stays healthy over time.


I've set up CI/CD pipelines, Dockerised ML systems, and managed cloud deployments on AWS and Azure for enterprise clients. I bring the same production-grade standards to every project on this platform.


What I deliver:

Docker containerisation of your ML model or API

CI/CD pipeline setup via GitHub Actions with automated build and deploy

Deployment to AWS EC2, Azure VM, or your preferred cloud provider

Kubernetes orchestration for scalable, multi-container setups

Model monitoring with performance alerts and drift detection

Infrastructure-as-code so your setup is reproducible and version-controlled

Health check endpoints and logging setup


Why clients choose me:

5+ years building and managing ML infrastructure at NETSOL and beyond

Hands-on experience with AWS Bedrock, Azure AI Studio, and Azure AI Search

Every delivery includes a README so your team can manage it going forward

I don't just deploy and disappear 7-day post-delivery support on Premium


Share your current stack

Scopri di più su Fahid B

Fahid B

AI and ML Engineer specializing in LLMs NLP Computer Vision and MLOps

  • DaPakistan
  • Membro daago 2019
  • Lingue

    Urdu, Inglese
AI and ML Engineer with 5+ years building production-ready AI systems. I specialise in LLM chatbots, RAG pipelines, voice AI, fine-tuning, computer vision, and MLOps on AWS and Azure. Built enterprise AI at NETSOL, delivered ML for US healthcare clients at Turing, and hold an MS in AI from NUST Pakistan. I don't just train models, I ship them. Clean code, Dockerised, documented, and ready for your team to maintain. Message me before ordering.

Il mio portfolio