// skills.yaml — full breakdown

Skills, honestly rated.

Split the way I'd describe it in an interview — what I ship with daily, what I'm comfortable working with, and what I'm deliberately learning next. The last group is labelled rather than quietly folded in with the rest.

skills.yaml
hands_on_experience

// Used in production work, day to day.

llm_and_rag:

  • -LLM Integration
  • -RAG Pipelines
  • -Embeddings
  • -Vector Search
  • -Semantic Search
  • -Prompt Engineering
  • -Conversational AI

computer_vision:

  • -Facial Recognition
  • -Identity Verification
  • -Image Preprocessing
  • -AI Inference Pipelines
  • -Recommendation Systems

languages:

  • -Python
  • -TypeScript
  • -JavaScript
  • -SQL

backend:

  • -FastAPI
  • -Flask
  • -REST API Architecture
  • -AI Inference Optimisation

frontend:

  • -React.js
  • -React Native
  • -Tailwind CSS

data:

  • -Pandas
  • -NumPy
  • -Data Preprocessing
skills.yaml
familiar_with

// Worked with, comfortable picking up.

orchestration:

  • -LangChain
  • -LangGraph
  • -Multi-Step LLM Workflows

data_infra:

  • -Pinecone
  • -Redis
  • -Celery
  • -RabbitMQ

deployment:

  • -Docker
  • -Kubernetes
roadmap.yaml
learning_now

// Deliberately studying next — not claimed as experience.

llmops:

  • -Model Evaluation
  • -LLM Observability
  • -Guardrails & Safety

agents:

  • -Tool Calling
  • -Agentic Workflows

cloud_ai:

  • -AWS Bedrock
  • -Google Vertex AI

// certifications.yaml

Certification roadmap

The credentials I'm working toward, in the order I plan to take them, and why each one matters for this track. These are listed as a plan — anything marked Earned is held; everything else is not yet.

AWS Certified AI Practitioner

Amazon Web Services

Foundation for the managed AI services most Indonesian employers deploy on.

Planned

AWS Certified Machine Learning Engineer — Associate

Amazon Web Services

The natural next step: training, deployment and monitoring on AWS.

Planned

Professional Machine Learning Engineer

Google Cloud

Vertex AI and production ML design, the strongest signal for ML engineering roles.

Planned

Azure AI Engineer Associate (AI-102)

Microsoft

Covers the enterprise stack — Azure OpenAI, search and document intelligence.

Planned

Generative AI Engineer Associate

Databricks

Directly certifies the RAG and LLM application work I already do daily.

Planned

Deep Learning Specialization

DeepLearning.AI

Fills in the theory under the models I integrate.

Planned

Certified Kubernetes Application Developer (CKAD)

The Linux Foundation

Turns hands-on Docker and Kubernetes deployment into a verified credential.

Planned

// EOF — © 2026 Apriani Nur Raina

Open to AI Engineer roles & freelance work

$ cd top
mainskills.yamlLn 1, Col 1