Pankaj Kumar (@pankajkumar_dev)
2025-08-04 | โค๏ธ 2394 | ๐ 370
Roadmap to Senior AI/ML Engineer (with LLMs + MLOps + Systems)
Python โ NumPy โ Pandas โ Matplotlib โ Scikit-learn โ Data Cleaning & EDA โ Stats & Probability โ Linear Algebra โ Calculus โ ML Algorithms (Regression, Trees, SVMs, KNN, Clustering) โ Deep Learning (ANN, CNN, RNN, LSTM, GANs) โ PyTorch / TensorFlow โ Transfer Learning โ Fine-tuning โ Hugging Face Transformers โ LangChain / LlamaIndex โ LLM Internals (Tokenization, Attention, BPE, KV Cache) โ RAG Pipelines โ Vector DBs (FAISS, Weaviate, Pinecone) โ Prompt Engineering โ Finetuning (QLoRA / LoRA / DPO) โ Model Deployment (Flask / FastAPI / Triton / BentoML) โ Model Serving (TorchServe / TGI / vLLM) โ Quantization (INT8 / GPTQ / AWQ) โ Distillation โ MLOps Basics โ Model Versioning (DVC, MLflow) โ Experiment Tracking โ CI/CD for ML โ Containerization (Docker) โ Infra with Terraform โ Kubernetes + Kubeflow โ GPU Scheduling โ Monitoring (Prometheus, Grafana, Sentry) โ Cloud (AWS/GCP/Azure) โ IAM, Billing, Cost Optimization โ Ethics in AI โ Bias, Fairness, Explainability
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