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For the complete documentation index, see llms.txt. This page is also available as Markdown.

Skills and tooling

Languages, AWS services, ML tooling, and MLOps stack.

Skills and tooling

Languages

  • Python

  • JavaScript

  • TypeScript

  • SQL

  • Bash

AWS

  • SageMaker

  • EC2

  • Lambda

  • S3

  • EMR

  • Glue

  • Batch

  • CloudWatch

  • EKS

Machine learning

  • Deep Learning

  • NLP and LLMs

  • Multi-agent systems

  • Fine-tuning: LoRA, QLoRA, QDoRA

  • RAG pipelines

  • Quantization: NF4, INT8

  • Distributed training

  • Model optimization

Frameworks and libraries

  • PyTorch

  • Hugging Face Transformers

  • TensorFlow

  • PEFT

  • bitsandbytes

  • Scikit-Learn

  • LangChain

  • CrewAI

  • ONNX Runtime

  • TensorRT

  • vLLM

  • NumPy

  • Pandas

Data and databases

  • Databricks

  • PostgreSQL

  • MySQL

  • MongoDB

  • DynamoDB

  • Spark

Serving and APIs

  • FastAPI

  • Express.js

  • Node.js

  • LLM APIs: OpenRouter, Claude, Gemini, OpenAI

  • REST API design

MLOps and DevOps

  • Docker

  • Kubernetes

  • CI/CD: GitHub Actions, AWS CodePipeline

  • IaC: Terraform, CloudFormation

  • MLflow

  • Model registry

  • A/B testing

  • Observability: OpenTelemetry

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