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I will do professional data science and deploy your machine learning model
Software and MLOps Engineer using Python, Java, Docker, Backend Systems
Hi, I'm Matei, a CS student and Software/MLOps Engineer with real-world enterprise experience. I specialize in backend systems, high-performance automation, and production-ready ML.
Recent work:
Bad...
About this Gig
Looking for a production-ready Machine Learning solution, not just a Jupyter Notebook?
I am a Software Engineer and Data Scientist with professional experience at Amazon and Continental. I specialize in building end-to-end AI systems, from raw data analysis to scalable model deployment using industry-standard MLOps practices.
What I offer in this Gig:
- Full Data Lifecycle: Data cleaning, Exploratory Data Analysis (EDA), and feature engineering using Pandas and NumPy.
- Model Engineering: Training and optimizing custom ML models (Scikit-learn, PyTorch, TensorFlow) for classification, regression, or anomaly detection.
- Model Serving (MLOps): Wrapping your models into high-performance FastAPI or Flask REST APIs.
- Scalable Deployment: Containerizing the entire environment with Docker to ensure it runs flawlessly on any server or cloud (AWS, Azure, DigitalOcean).
- Production Standards: Implementing logging, monitoring, and clear documentation (industrial standards learned at Amazon).
Tech Stack: Python, FastAPI, Docker, SQL (PostgreSQL), Scikit-Learn, PyTorch, MLflow.
Please contact me BEFORE placing an order to discuss your data, business goals, and deployment requirements. Let's build somet
FAQ
Will the final model be ready for a real-world production environment?
Yes, absolutely. Unlike many data science projects that end with a Jupyter Notebook, I focus on MLOps. If you choose the Standard or Premium package, you will receive a fully functional REST API (FastAPI) or a Docker container, making it ready to be deployed on any server or cloud platform (AWS, Azu
Can you work with my existing data and infrastructure?
Definitely. I have extensive experience working with various data sources, including PostgreSQL, MySQL, and CSV/Excel files. Whether you need a standalone solution or integration into your current tech stack, I follow the high architectural standards I practiced at Amazon and Continental to ensure c
Which Machine Learning frameworks do you use?
I select the best tool for your specific problem. Typically, I use Scikit-Learn for classical machine learning, and PyTorch or TensorFlow for deep learning projects. For the serving layer, I rely on FastAPI due to its high performance and automatic documentation.
Is the source code included and well-documented?
Yes. Clean, maintainable code is my priority. You will receive the full source code with clear comments. In the Standard and Premium packages, I also include comprehensive documentation on how to run, test, and scale the application.
Do you offer support after the delivery?
Yes. I provide post-delivery support to ensure the deployment goes smoothly in your specific environment. My goal is to build a long-term professional relationship, providing you with a scalable AI solution that grows with your business.
