I Ketut Adian Jayaditya

AI Engineer crafting intelligent systems: RAG pipelines, LLM integrations, ML models, and automation workflows that turn raw data into real impact.

Building AI that
actually works

I'm a Data Scientist and AI Engineer based in Malang, Indonesia, with a solid foundation in machine learning, deep learning, and modern AI engineering. I specialize in building end-to-end intelligent systems: designing RAG pipelines and LLM-powered applications, crafting automation workflows, and deploying production-ready ML models.

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LLM integration, RAG pipelines & AI Agent development
Workflow automation with n8n & API orchestration
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End-to-end ML: from data wrangling to model deployment
Current Role
Data Scientist @ PT Beon Intermedia
Location
Malang, East Java, Indonesia
Email
adianjay11@gmail.com
Languages
Bahasa Indonesia (Native)  ·  English (Intermediate)
Education
Udayana University, Bali
Bachelor of Informatics · 2021 – 2025
GPA 3.9 / 4.0

Tools &Technologies

AI & Machine Learning
Machine Learning Deep Learning TensorFlow LLM RAG Pipeline AI Agent Pinecone Embeddings
Programming & Data
Python SQL Pandas Data Analytics EDA Feature Engineering
Automation & Engineering
n8n API Integration Workflow Automation
Visualization & Reporting
Tableau Metabase Dashboard Design KPI Reporting

Certifications

TensorFlow Certificate Program
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TensorFlow Developer Certificate
TensorFlow Certificate Program
See detail
Indosat Ooredoo Digital Camp
IDCamp Logo
Machine Learning Engineer – Expert Class
IDCamp · Indosat Ooredoo Digital Camp
Coursera
Coursera Logo
TensorFlow Developer Specialization
DeepLearning.AI · Coursera
Coursera
Coursera Logo
TF: Data and Deployment Specialization
TensorFlow · Coursera

Projects

n8n Automation
Social Media Posting Automation
Designed and implemented automated workflows using n8n to schedule and publish content across multiple social media platforms. Integrated APIs and event-driven triggers for dynamic content distribution with minimal human intervention.
n8n API Integration Workflow Automation
RAG Pipeline Development
Xendit Documentation Chatbot
Architected a Retrieval-Augmented Generation pipeline to enhance AI-driven information retrieval and knowledge management. Iterated on embedding strategies to improve retrieval accuracy and integrated the system with internal knowledge bases for context-aware, data-driven responses.
RAG LLM Pinecone Python
Data Visualization
E-commerce Sales Dashboard
Developed an interactive Tableau dashboard to visualize and monitor key sales KPIs including revenue, profit, and year-over-year trends. Created dynamic charts for sub-category performance to support business decision-making.
Tableau KPI Analysis Dashboard Design
NLP
Product Review Sentiment Analysis
Built a full NLP pipeline for sentiment classification, covering text preprocessing (tokenization, stemming, stopword removal), TF-IDF feature extraction, and Chi-Square feature selection. Final model achieved 88% classification accuracy.
Python TF-IDF NLP 88% Accuracy
Unsupervised ML
Bank Customer Clustering
Performed end-to-end preprocessing, EDA, and K-Means clustering to segment bank customers by spending behavior and demographics. Delivered actionable insights to support targeted marketing and customer engagement strategies.
Python K-Means EDA Pandas

Where I've Worked

Sep 2025 – Present Malang, Jawa Timur
Data Scientist
PT Beon Intermedia
  • Designed and deployed n8n-based automation workflows to streamline data collection and reporting processes.
  • Conducted end-to-end data analysis: gathering, cleaning, and processing data from multiple sources to ensure accuracy and availability.
  • Built and maintained RAG pipelines to support AI-driven data retrieval and knowledge management systems.
Aug 2023 – Jan 2024 Remote
Machine Learning Cohort
Bangkit Academy · Google, Tokopedia, Gojek, Traveloka
  • Completed an intensive 900-hour career readiness program focused on machine learning and professional development.
  • Gained hands-on experience in supervised/unsupervised learning, deep learning with TensorFlow, and model deployment.
  • Collaborated on a multidisciplinary capstone project to solve real-world problems using machine learning.

Let's build something
together.

Open to freelance projects and interesting collaborations in data science, AI engineering, and intelligent automation.