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