Classical machine learning and custom deep learning models—built with PyTorch, TensorFlow, scikit-learn, Sentence-Transformers, and ONNX Runtime—solve predictive scoring, anomaly detection, image classification, and token-level NLP problems with deterministic sub-10ms latency.
If you want to hire a freelance Python machine learning programmer who can train, quantize, containerize, and serve custom ML models in production via FastAPI, AWS SageMaker, GCP Vertex AI, or browser WebAssembly, I am Aldian Fazrihady.
Machine Learning & Deep Learning Case Studies
- FastAPI + Scikit-Learn KNN Real-Time Scoring: Algorithmic Funnels with scikit-learn in FastAPI
- Sentence-Transformers & PCA Sentiment Visualization: Visualizing Social Sentiment with Sentence Transformers and PCA
- ONNX Runtime Web & Transformers.js: High-Performance Embeddings in the Browser
- Indonesian NER Studio & Stable Diffusion on GCP: Indonesian NER Studio & Stable Diffusion on GCP