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I will deploy your machine learning model to production using mlops
Engineering Your Business Edge With Custom AI Agents And ML Solutions
I am an ML/AI Engineer & MBA specializing in the convergence of technical engineering and business transformation. I don't just write code; I build production-ready AI systems designed to give your bu...
About this Gig
Stop letting your models die in a Jupyter Notebook.
I will take your trained Machine Learning model and turn it into a scalable, production-ready API that your software team can actually use.
As a Senior ML Engineer, I don't just "upload" code. I build robust MLOps environments that ensure your model is stable, fast, and easy to update.
What I offer:
- Model Packaging: Containerizing models with Docker for "run anywhere" capability.
- API Development: Building high-performance endpoints using FastAPI or Flask.
- Cloud Deployment: Expert setup on AWS (SageMaker/EC2), Google Cloud (Vertex AI), or Azure.
- CI/CD Pipelines: Automating your deployment workflow with GitHub Actions or GitLab CI.
- Monitoring: Setting up basic logging to track model performance and "drift."
The Tech Stack: Docker, Kubernetes, FastAPI, AWS/GCP, MLflow, and GitHub Actions.
Ready to move from research to production? Lets get your model live.
Programming language:
Python
•
SQL
•
Colab
•
NoSQL
•
MLflow
Frameworks:
Scikit-learn
•
Keras
•
Panda
APIs:
Azure Face API
Tools:
Jupyter Notebook
•
Excel
•
MLflow
•
Colab
•
Azure ML Studio
My Portfolio
FAQ
Which cloud platforms do you support?
I am proficient in AWS, Google Cloud (GCP), and Azure. For smaller projects or startups, I can also deploy to more cost-effective platforms like Render, Railway, or Heroku.
Do you provide model monitoring?
Yes, in the Premium package, I set up monitoring to track API latency and basic model "drift" (when the model becomes less accurate over time). This is a core part of a mature MLOps workflow.
What if my model is too large for standard servers?
I specialize in Model Optimization. I can use techniques like quantization or suggest GPU-optimized instances (like AWS p3/g4) to ensure your model runs efficiently without breaking your budget.
Can you work with LLMs or Generative AI?
Yes. I can deploy custom LLM wrappers, set up RAG (Retrieval-Augmented Generation) pipelines, and optimize inference for models hosted on Hugging Face.
