You will get "AI Trading Systems & Financial ML Models - Python Expert"
Project details
I develop enterprise-grade AI trading systems that combine cutting-edge machine learning with practical financial applications. My solutions feature 8+ advanced neural architectures (Transformers, CNN-LSTM, TCN, Informer) delivering consistent cross-validation performance with MSE <0.005 across multiple asset classes.
What sets my work apart: I build production-ready systems, not academic prototypes. My recent platform includes real-time prediction engines, FTMO-compliant risk management, advanced backtesting with realistic market impact, and SHAP-based model explainability. I handle the complete pipeline from data acquisition through deployment.
My technical stack spans Python, TensorFlow, PyTorch, financial APIs, and modern web frameworks. I specialize in multi-asset support (stocks, forex, crypto, commodities) with sophisticated risk analytics including VaR calculations, dynamic position sizing using Kelly Criterion, and comprehensive portfolio optimization.
Clients choose me because I deliver institutional-quality solutions with clear documentation, robust error handling, and ongoing support.
What sets my work apart: I build production-ready systems, not academic prototypes. My recent platform includes real-time prediction engines, FTMO-compliant risk management, advanced backtesting with realistic market impact, and SHAP-based model explainability. I handle the complete pipeline from data acquisition through deployment.
My technical stack spans Python, TensorFlow, PyTorch, financial APIs, and modern web frameworks. I specialize in multi-asset support (stocks, forex, crypto, commodities) with sophisticated risk analytics including VaR calculations, dynamic position sizing using Kelly Criterion, and comprehensive portfolio optimization.
Clients choose me because I deliver institutional-quality solutions with clear documentation, robust error handling, and ongoing support.
Machine Learning Tools
ChatGPT, GitHub Copilot, Google Sheets, Keras, Microsoft Excel, MLflow, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, Sonnet, SQL, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$500
|
Standard
$2,700
|
Advanced
$5,950
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 60 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 3 | 8 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 3 | 8 | 14 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100
Additional Model Variation
(+ 4 Days)
+$300About Umair
AI/ML Quant Consultant
Copenhagen, Denmark - 2:22 am local time
I build production-grade AI/ML, Quant systems that solve real business problems. With expertise in deep learning, MLOps, and cloud deployment, I transform data into actionable predictions and scalable solutions from scratch/concept to production.
**What I Deliver:**
✓ Custom ML models (Transformers, CNN-LSTM, TCN, N-BEATS, LSTM-GRU)
✓ End-to-end ML pipelines with automated training and monitoring
✓ MLOps infrastructure: drift detection, model monitoring, explainability
✓ Real-time prediction systems with API integration
✓ Cloud deployment (GCP, AWS) with Docker containerization
✓ Full-stack ML applications (Python backend + React frontend)
**Recent Projects:**
- AI Trading Platform: 8 neural network architectures
- MLOps Dashboard: Real-time model monitoring with drift detection (PSI-based)
- AutoML Training System: Interactive platform with cross-validation & ensemble methods
- Backtesting Engine: Portfolio optimization using Kelly Criterion
**Technical Stack:**
- ML/DL: TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, CatBoost
- MLOps: Model monitoring, SHAP explainability, drift detection
- Cloud: Google Cloud Platform, AWS, Docker
- Backend: Python, FastAPI, Flask
- Frontend: React, JavaScript
- Data: Pandas, NumPy, SQL
- APIs: REST API development, real-time data integration
**Why Work With Me:**
→ Production-ready code (6,000+ lines of clean, documented code)
→ End-to-end ownership (from data to deployment)
→ Strong communication (regular updates, clear documentation)
→ Business-focused solutions (not just algorithms)
I'm passionate about building AI systems that create measurable value. Let's discuss how I can help solve your ML challenges.
**Available for:**
- ML model development & deployment
- MLOps implementation
- Time-series forecasting
- Custom AI solutions
- Technical consulting
Steps for completing your project
After purchasing the project, send requirements so Umair can start the project.
Delivery time starts when Umair receives requirements from you.
Umair works on your project following the steps below.
Revisions may occur after the delivery date.
Support & Optimization
Ongoing monitoring and performance optimization