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I will train and deploy a python ml model with a fastapi rest API
Alap Gohar
About this gig
Need a Python ML model built, trained, and deployed as a production-ready ML API?
I specialize in Python ML development, from training and deploying ML models to serving them via FastAPI REST endpoints. Whether you need sales forecasting, churn prediction, anomaly detection, or custom classification, I build and deploy ML models that work in production.
What I can build:
- Python ML models for sales forecasting, classification, and regression
- Deploy ML model as a FastAPI ML API with Swagger docs
- Sales forecasting pipelines with multi-model competition
- Anomaly detection and churn prediction systems
- Full Python ML pipeline with MLOps and auto-retraining
Why work with me:
Unlike most Python ML freelancers, I deploy ML models as production-grade ML APIs, not just notebooks. Every delivery is a working, documented FastAPI endpoint ready to integrate.
Message me to discuss your Python ML or sales forecasting project.
Get to know Alap Gohar
Alap Gohar
AI Engineer, ML Systems and Automation
- FromPakistan
- Member sinceJun 2026
- Avg. response time1 hour
Languages
English, Arabic, German, Spanish
I build AI automations and workflows that help businesses save time and scale. Using n8n, large language models, and custom APIs, I design agents that go beyond simple integrations and actually think.
What sets me apart is I can also build the AI behind the workflow — trained ML models for forecasting, sentiment analysis, and churn prediction, wired directly into automated pipelines.
Solutions are clean, documented, and built to last, at a price that reflects my commitment to building a strong track record. Let's discuss your project.
Other AI Development Services I Offer
FAQ
What kind of ML models can you build?
I can build models for sales forecasting, churn prediction, anomaly detection, fraud detection, classification, and regression. If you have a dataset and a prediction goal, message me and I will tell you if it is achievable.
Do you just deliver a notebook or an actual working API?
I deliver a fully deployed Python ML model served via a FastAPI REST endpoint with Swagger documentation, input validation, and error handling. You get a live API you can call from any application, not just a Jupyter notebook.
What data do I need to provide?
A CSV or structured dataset relevant to your prediction task. For sales forecasting I need historical transaction data. For churn prediction I need customer activity data. We can discuss the exact schema before you order.
How accurate will the model be?
Accuracy depends on your data quality and size. I run a multi-model competition and select the best performing algorithm automatically. I always deliver a performance report with metrics so you know exactly what you are getting.
Can you integrate the ML API into my existing application?
Yes. The FastAPI endpoint I deliver is designed to plug into any existing system. If you need full integration as well, message me for a custom offer.
