I will develop custom machine learning, deep learning and predictive ai models
Artificial Intelligence Reseach and Development Engineer
About this Gig
Have data but no idea how to turn it into predictions? I build machine learning and deep learning models that find patterns, forecast outcomes and automate decisions accurate, explainable and ready to use.
I'm an AI Engineer with 4+ years of hands-on experience delivering machine learning, deep learning and computer vision projects for businesses, researchers and students.
WHAT I DELIVER
- Classification and regression models
- Time series forecasting and trend prediction
- Neural networks (ANN, CNN, RNN, LSTM)
- Data cleaning, EDA and feature engineering
- Model tuning and performance improvement
- Churn, sales and price prediction
- Model deployment (API) and documentation
TOOLS: Python, TensorFlow, PyTorch, Scikit-learn
WHY WORK WITH ME
- Clean, documented, reproducible code
- Clear metrics (accuracy, F1, RMSE, R²)
- Free feasibility check before you spend a dollar
- Fast communication and on-time delivery
- Suitable for businesses, FYPs and research projects
Send me a message with your data, goal and deadline before ordering, and I'll recommend the best approach. Click Contact Me or order a package today and let's put your data to work.
Other Data Science & ML Services I Offer
FAQ
What kind of data do I need?
Ideally a clean CSV or Excel file with your target column (what you want to predict). If your data is messy, I can clean it. Message me first if you’re unsure whether your data is suitable.
How accurate will the model be?
It depends on data quality and size. I’ll compare several algorithms, tune the best one and report honest metrics. I never promise unrealistic accuracy.
Do I need machine learning or deep learning?
Not always. Many problems are solved better with classic ML on tabular data. I’ll recommend the simplest approach that performs well, so you don’t overpay for complexity.
Which tools do you use?
Python with Scikit-learn, TensorFlow, PyTorch, Pandas and NumPy. Models include regression, random forest, XGBoost, ANN, CNN, RNN and LSTM, depending on your problem.
Will I get the source code?
Yes. You receive the trained model, clean commented code or notebook, and instructions to run it.
Can you help with my FYP, thesis or research project?
Yes. I can build the model, explain the approach and provide documentation. Share your requirements and deadline early.
Can you deploy the model?
Yes. The Premium package includes API deployment with Flask or FastAPI. For other platforms, message me for a custom offer.

