I will machine learning deep learning and predictive ai models
Senior AI Engineer, LLM RAG Computer Vision and ML Expert
About this Gig
I will build professional Machine Learning, Deep Learning, and Predictive AI models using Python for classification, regression, forecasting, recommendation, anomaly detection, and business prediction.
Services include data cleaning, preprocessing, feature engineering, model training, hyperparameter tuning, model evaluation, deep learning model development, and API deployment. I can work with CNNs, RNNs, LSTMs, Transformers, GANs, VAEs, XGBoost, LightGBM, and scikit-learn models.
Tech stack: Python, Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, FastAPI, Docker.
You will receive clean code, model metrics, documentation, and production-ready workflow depending on the package. Best for startups, research projects, SaaS products, analytics platforms, and AI automation.
Programming language:
Python
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SQL
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NoSQL
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MLflow
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Amazon SageMaker
Frameworks:
Scikit-learn
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DeepPy
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Google ML Kit
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Keras
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PyTorch
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Can you work with my dataset?
Yes. You can provide CSV, Excel, SQL database, JSON, images, text, or API-based data.
Can you improve my existing model?
Yes. I can optimize your model using preprocessing, feature engineering, tuning, regularization, and model selection.
Do you provide model evaluation?
Yes. I provide relevant metrics based on your problem type, such as accuracy, F1-score, RMSE, ROC-AUC, or precision/recall.
Can you deploy the model?
Yes. I can deploy the model through Fast APIs, Docker, or cloud/server setup.
Can you explain the model results?
Yes. I can include a report explaining the model performance, limitations, and business interpretation.

