liner notes · 04
Skills
Six groups, 53 skills, one root.
ML / Deep Learning
PyTorch, TensorFlow, XGBoost, LSTM, Transformers, BERT, U-Net, EfficientNet, SHAP, Grad-CAM, PennyLane (QML)
LLMs & Retrieval
RAG, LangChain, OpenAI function calling, llama.cpp, Ollama, Faithfulness eval, Agent design, ChromaDB, Pinecone, FAISS, pgvector, Cross-encoder reranking
Computer Vision
YOLOv8, EfficientAD, OpenCV, MediaPipe, ByteTrack, DeepSORT, Synthetic data, Label Studio
Inference & Optimisation
ONNX Runtime, TensorRT, OpenVINO, INT8 / FP16, Jetson Nano, Raspberry Pi, Intel N100
MLOps & Cloud
MLflow, DVC, Docker, Kubernetes, AWS, CI/CD, FastAPI, TimescaleDB, PostgreSQL
Languages
Python, SQL, Rust, TypeScript, R, Dart