You will get Highly Optimized Ensemble LSTMs for Accurate Timeseries Prediction/Forecast
Project details
As an AI/Deep learning Research Scientist/Engineer with a PhD focused on accurate deep learning for Timeseries Prediction and Forecasting, I can provide you with Highest possible accuracy capacity of deep learning models such as Long Short-Term Memory Networks (LSTMs), Echo State Networks (ESNs), Transformers, LLMs, CNNs. I review your data, configure AI model setups and hyperparameter optimize them. I will fully train, validate, and test them and provide you with the final ready-to-use deep learning models for your operational needs.
I will share with you the final fully trained models, including weights and a clean code on how to use them in your daily operational work. MLOps
Final product includes:
1. Trained models (Demo > Standard > Advanced)
2. a clean code on how to use them for operation/test
3. A README file with clear instructions for your team
4. future support if needed is of my professional ethics. The cost will be discussed by case.
Codes will be Python, Pytorch, and required libraries and envs.
If you are looking for high accuracy, this product is of the bests for you.
I will share with you the final fully trained models, including weights and a clean code on how to use them in your daily operational work. MLOps
Final product includes:
1. Trained models (Demo > Standard > Advanced)
2. a clean code on how to use them for operation/test
3. A README file with clear instructions for your team
4. future support if needed is of my professional ethics. The cost will be discussed by case.
Codes will be Python, Pytorch, and required libraries and envs.
If you are looking for high accuracy, this product is of the bests for you.
Machine Learning Tools
Azure Machine Learning, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$550
|
Advanced
$2,250
|
|---|---|---|---|
| Delivery Time | 7 days | 21 days | 45 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 10 | 100 |
Number of Scenarios | 1 | 1 | 10 |
Number of Graphs/Charts | 5 | 10 | 30 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $1,500
Additional Revision
+$500
Additional Model Variation
(+ 7 Days)
+$500
Additional Scenario
(+ 10 Days)
+$500
Additional Graph/Chart
(+ 3 Days)
+$50
Source Code
(+ 10 Days)
+$5,000
Echo State Network (ESN)
(+ 10 Days)
+$500
Random Forest
(+ 10 Days)
+$500
Transformer, LLM, Convolutional Neural Network (CNN)
(+ 10 Days)
+$2,000Frequently asked questions
About Farzad
AI/Deep Learning Specialist DNN | TimeSeries Prediction | Data Science
Bilbao, Spain - 6:23 pm local time
Years building and operationalizing high-accuracy systems on GPU/Azure for real-time hourly and multi-lead (up to 168 h) prediction and forecasting; multiple Q1 publications (2024–2025).
Strong theory-to-practice grounding (Hilbert-space/kernel methods/DNNs → xAI/SHAP) with systematic Hyperparameter Optimization (HPO) and regularization/generalization control.
End-to-end delivery: I ship ready-to-use optimized/trained/tested model packages for operation, turning pure AI research into robust, auditable, deployable systems.
Strong base and experience on transforming Pure Science into Real-World practice and AI/MLOps.
Let’s collaborate and turn data into actionable results!
Steps for completing your project
After purchasing the project, send requirements so Farzad can start the project.
Delivery time starts when Farzad receives requirements from you.
Farzad works on your project following the steps below.
Revisions may occur after the delivery date.
The initial version
At this point we can have a meeting. I share the product and we see it together. Then you will work with it and if you need any modification, I will apply in next versions. Final product will be customized for your needs.