Programming Language: Python; Node.js --> Typescript
Cloud Computing: Serverless Architecture --> AWS Lambda; Storage; Model Management; GPU Management; Cloud Network
Container Platform: Docker; Kubernetes
Database: SQL --> ORM, DAL; RDBMS --> MySQL; NoSQL --> Document --> MongoDB, Key-Value --> Redis
Machine Learning:
Supervised Learning --> Labeling Tool --> Active Learning; Classification; Regression; Object Detection
Unsupervised Learning --> Dimension Reduction
Reinforcement Learning --> Bandits Recommendation; RL in Production --> Scalable RL Agents
Serialization: Protobuf; JSON
Programming Techniques: Dependency Injection; Dump Analysis; Functional Programming
Performance Optimization: Distributed Training --> Horovod; Data Pipeline; Weight Compression --> Float16 Compression
ML Frameworks: OpenCV; PyTorch; TensorFlow
AutoML: Microsoft NNI
MLOps: Model Serving --> Batched; Real-Time; Scheduling; Data Preprocessing; Data Validation; Model Training --> Distributed Training; Model Validation; Model Deployment; Experiment Management; explainable AI; Monitoring; TFX
Multithreading/processing: Synchronization --> Mutex --> Semophore; Parallel Programming; Task-based
Mathematics: Linear Algebra; Probability & Stats --> Bayesian Stats; Optimization Theory