01
Languages
Primary tools for building and shipping
- Python
- TypeScript
- JavaScript
- SQL
- Java
- C++
Skills
The tools, and what they're for.
Grouped by what they do rather than by hype. Everything here has shipped in a real project — the case studies show where.
02
Machine Learning & Deep Learning
Model building, training, and evaluation
- PyTorch
- TensorFlow
- Transformers
- scikit-learn
- LightGBM
- CatBoost
- Optuna
- SHAP
03
LLMs, RAG & Agents
Retrieval, fine-tuning, and multi-agent systems
- LangChain
- LangGraph
- MCP
- RAG
- vLLM
- LoRA / SFT / DPO
- FAISS
- BM25
- Anthropic & OpenAI APIs
- Qwen
04
Computer Vision
Image and video understanding
- VideoMAE
- TimeSFormer
- ViT
- DETR
- OpenCV
- YOLO
05
MLOps & Data Engineering
Reproducible pipelines and feature infrastructure
- MLflow
- DVC
- Feast
- dbt
- DuckDB
- Polars
- Docker
- Kubernetes
- GitHub Actions
- Kafka
- Redis
06
Backend & Serving
APIs, storage, and model serving
- FastAPI
- Flask
- Streamlit
- PostgreSQL / pgvector
- Neo4j
- SQLite
- REST
- n8n
07
Observability & Cloud
Running systems you can see into
- Prometheus
- Grafana
- OpenTelemetry
- AWS
- Azure
- GCP