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I will deploy your ml model as a fastapi rest api on aws or docker
Abbas Mustafa
Über diesen Service
Your model works in a notebook. Production is a different problem.
I take your trained model (PyTorch, TensorFlow, scikit-learn, or Hugging Face) and turn it into a reliable REST API your product can actually call. You get:
- FastAPI service with clean, documented endpoints and input validation
- Dockerized build that runs the same on any machine or cloud
- Deployment to AWS, GCP, or your VPS with HTTPS
- Logging, health checks, and basic monitoring
- CI/CD pipeline and autoscaling on the Full MLOps package
About me: Published NLP research (AIMLAB, NUCES FAST), 1st place SOFTEC national ML competition, MSc Cybersecurity at IMT Atlantique. I build APIs that hold up under real traffic, and I secure them properly.
Every delivery includes documentation and a handover walkthrough so your team can run it without me.
Message me before ordering if you are unsure which package fits your model and traffic.
Lerne Abbas Mustafa kennen
Abbas Mustafa
AI Engineer for LLM, RAG, Chatbot and ML Pipeline Solutions
- AusFrankreich
- Mitglied seitDez. 2018
- ⌀ Antwortzeit1 Stunde
- Letzte Lieferung2 Jahre
Sprachen
Englisch
I'm an AI Systems Engineer with 5+ years of experience building production-grade AI solutions — RAG pipelines, fine-tuned LLMs (LoRA/PEFT), multi-agent systems, and computer vision applications. I've deployed ML systems for medical imaging, trading, and security, and built full-stack platforms serving 10,000+ users with FastAPI, Docker, and Kubernetes. Currently pursuing an MSc in Cybersecurity in France, I bring a security-first mindset to every build. Whether you need a chatbot, an automation agent, or a complete ML pipeline, I deliver clean, scalable, well-documented work.
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FAQ
Which model frameworks do you support?
PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face transformers. If it loads in Python, I can serve it. Message me if your stack is different.
Do I need my own cloud account?
For Cloud Deploy and Full MLOps, yes. I deploy to your AWS, GCP, or VPS account so you keep full ownership and control. The API Deploy package needs nothing; you get the code and Docker image.
