// 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.
// 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
// Worked with, comfortable picking up.
orchestration:
- -LangChain
- -LangGraph
- -Multi-Step LLM Workflows
data_infra:
- -Pinecone
- -Redis
- -Celery
- -RabbitMQ
deployment:
- -Docker
- -Kubernetes
// 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.
AWS Certified Machine Learning Engineer — Associate
Amazon Web Services
The natural next step: training, deployment and monitoring on AWS.
Professional Machine Learning Engineer
Google Cloud
Vertex AI and production ML design, the strongest signal for ML engineering roles.
Azure AI Engineer Associate (AI-102)
Microsoft
Covers the enterprise stack — Azure OpenAI, search and document intelligence.
Generative AI Engineer Associate
Databricks
Directly certifies the RAG and LLM application work I already do daily.
Deep Learning Specialization
DeepLearning.AI
Fills in the theory under the models I integrate.
Certified Kubernetes Application Developer (CKAD)
The Linux Foundation
Turns hands-on Docker and Kubernetes deployment into a verified credential.