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Fiverr Pro
English
$
USD
I will build ml pipelines in python and gcp
About this Gig
Need a reliable ML pipeline that actually works in production?
I build clean, production-ready machine learning pipelines and data engineering solutions in Python.
What I deliver:
- Complete data pipelines (ETL, feature engineering, validation)
- ML model development & deployment
- REST API development (Flask / FastAPI)
- Docker containerization
- Clean, well-documented code + notebook + report
Technologies I use:
Python, R, SQL, Flask/FastAPI, Docker, GCP, ML (XGBoost, Causal Forest)
Perfect for:
Startups moving from notebook to production, healthcare data projects, fraud detection, business analytics.
I only accept projects I can deliver with high quality. Please message me before ordering so we can discuss scope and make sure its a good fit.
My Portfolio
FAQ
What is your experience with production ML pipelines?
I have real production experience from US stratup, where I architected end-to-end ML pipelines that scaled to 320+ causal inference models serving clinical teams. I focus on reliable, maintainable solutions rather than just notebooks.
What technologies do you use?
Python (primary), SQL, Flask/FastAPI, Docker, Google Cloud Platform (GCP), XGBoost, Causal Forest, and tools like Pandas, Scikit-learn. I can also work with BigQuery, PostgreSQL, and basic Spark.
Can you work with my existing Jupyter notebooks or code?
Yes! I can take your notebooks, refactor them into clean production code, add proper error handling, validation, and deployment structure.
Do I receive the full source code?
Yes, you get complete, well-documented source code that you fully own. All packages include clean Python code and documentation.
What do you need from me to start the project?
A clear description of your goal, sample data (or data format), and any specific requirements (e.g. cloud platform, output format). The more details you provide, the better and faster I can deliver.
Do you provide support after delivery?
Yes. The Premium package includes 14 days of post-delivery support. For Standard and Basic packages, I offer reasonable follow-up questions within the first week.
Can you deploy the pipeline to the cloud?
Yes, especially on GCP (my strongest platform). I can also guide deployment on AWS or Azure. Full cloud deployment with Docker is included in the Premium package.
Are you suitable for beginners or non-technical clients?
Yes. I explain everything clearly and provide documentation. I’m happy to work with non-technical clients as long as we discuss the scope upfront.
