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I will build machine learning deep learning and data science solutions
AI Engineer, ML, Deep Learning, LLM, RAG and Automation Expert
I’m an AI Engineer & Data Scientist specializing in Machine Learning, Deep Learning, Generative AI, LLMs, RAG, NLP, Computer Vision, and Advanced Data Analytics. I build production-ready AI agents, mu...
About this Gig
Professional Machine Learning, Deep Learning & Data Science
Need a reliable machine learning solution that turns your data into meaningful predictions and actionable intelligence? Neuro.Forge develops custom ML and data science solutions designed around your specific business or technical requirements.
I can develop:
- Machine learning & predictive models
- Classification & regression solutions
- Deep learning models
- Feature engineering & data preprocessing
- Anomaly detection systems
- Recommendation systems
- Computer vision & object detection
- Clustering & intelligent data segmentation
- Model optimization & performance evaluation
- Production-ready ML APIs & deployment
My development stack includes Python, PyTorch, TensorFlow, Keras, Scikit-learn, XGBoost, LightGBM, CatBoost, Pandas, NumPy, FastAPI, SQL, MLflow, and modern machine learning architectures.
Whether you need a predictive model, deep learning solution, computer vision system, or an end-to-end ML pipeline, I focus on clean methodology, reliable model performance, reproducible development, scalable implementation, and maintainable source code.
Choose the package that fits your requirements, or message me !
My Portfolio
FAQ
1. What type of machine learning solutions can you build?
I can develop classification, regression, predictive modeling, clustering, anomaly detection, recommendation systems, deep learning, and computer vision solutions.
2. Can you work with my existing dataset?
Yes. I can analyze, clean, preprocess, transform, and prepare your dataset before developing and evaluating the appropriate ML model.
3. Can you optimize an existing machine learning model?
Yes. I can evaluate your existing model, identify performance issues, tune parameters, improve the pipeline, and optimize its performance.
4. Do you provide the complete source code?
Yes. Source code is included according to the selected package, with structured implementation and documentation appropriate to the project scope
5. Can you deploy my machine learning model?
Yes. Cloud deployment and API integration are available in the Premium package or can be discussed as additional services.
6. Which technologies do you use?
I primarily work with Python, PyTorch, TensorFlow, Keras, Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, FastAPI, SQL, and MLflow.
