Advanced Machine Learning Engineer & Architect
Specializing in:
• Deep Learning & Neural Networks
• Supervised & Unsupervised Learning
• Reinforcement Learning
• Ensemble Methods & Model Optimization
• Large-Scale ML Systems
Core Services:
1. Advanced ML Model Development
- Deep Neural Networks (CNN, RNN, LSTM)
- Transformer Architectures
- Generative Adversarial Networks (GANs)
- Ensemble Learning Systems
- Custom ML Algorithms
2. ML Model Optimization
- Hyperparameter Tuning
- Model Architecture Search
- Feature Engineering & Selection
- Model Compression & Quantization
- Performance Optimization
3. Production ML Systems
- Distributed Training Pipelines
- Real-time Model Serving
- A/B Testing Frameworks
- Model Monitoring & Observability
- Automated Retraining Systems
Technical Expertise:
• Deep Learning Frameworks
- PyTorch, TensorFlow, Keras
- JAX, MXNet, FastAI
- Custom Framework Development
• Advanced ML Algorithms
- Attention Mechanisms
- Graph Neural Networks
- AutoML Systems
- Bayesian Optimization
- Meta-Learning
• ML Infrastructure
- GPU/TPU Optimization
- Distributed Computing
- Model Versioning
- Feature Stores
- ML Pipeline Automation
• Model Deployment & MLOps
- Container Orchestration
- Model Serving Optimization
- CI/CD for ML
- Model Registry Management
- Performance Monitoring