ARTIFICIALINTELLIGENCEENGINEER
AI Engineer specializing in Generative AI, Computer Vision, and predictive modeling. I build and deploy end-to-end AI-powered applications — from RAG-based chatbots and OCR pipelines to deep learning research systems.
WHAT I BRING TO THE TABLE
Automate Document Workflows
I build RAG chatbots and OCR pipelines that turn hours of manual document processing into seconds of automated intelligence.
Ship Computer Vision Systems
From drowsiness detection to traffic sign recognition — I deliver production CV models with measurable accuracy improvements.
Turn Data Into Decisions
I design dashboards and predictive models that replace gut feelings with data-driven insights, reducing manual reporting by 40%.
CONFIDANT PROFILE
Adji Dharmawan Indrianto
AI Engineer
Final-year Information Engineering student at Universitas Gadjah Mada. I architect production AI systems that solve real business problems — document intelligence, computer vision, and automated ML pipelines. Currently building AI infrastructure at Viktori Askara Teknologi Indonesia.
Universitas Gadjah Mada
B.Eng. Information Engineering • GPA: 3.68/4.00
Coursework: AI, Data Engineering, Cloud Computing, Algorithms
◆ AI ARSENAL
PALACE INFILTRATION LOG
AI Engineer Intern
Architected an end-to-end Document Intelligence Chatbot with RAG and double PII sanitization serving ~150 daily queries. Engineered automated OCR pipelines processing 500+ financial documents/month at 92% accuracy. Integrated Claude API for 50+ automated workflows weekly.
Machine Learning Engineer Intern
Built traffic sign recognition CNN achieving 96% accuracy on GTSRB. Engineered music genre classification with MFCCs and deep learning at 82% accuracy. Developed loan approval ML pipeline with SMOTE achieving 85% F1-score.
Data Analyst Intern
Built BI dashboards integrating Google Analytics data, reducing manual reporting by 40%. Optimized SQL queries reducing execution time by 60%. Processed 10,000+ row datasets with automated cleaning workflows.
SELECTED TARGETS
Water Quality Anomaly Detection
Unsupervised machine learning framework detecting river water contextual anomalies using Causal Z-Score feature engineering and a heterogeneous voting ensemble.
Driver Drowsiness Detection
High-precision drowsiness detection using VideoMAE V2-Huge transformer with LoRA fine-tuning. Achieved 0.8795 F1-Score with less than 2% trainable parameters.
Smart Fridge Manager (Anti-Basi)
AI-powered food detection using Gemini Vision API with Firebase real-time inventory tracking and automated expiry notifications via Cloud Messaging.
FIELD NOTES
The Evolution of RAG: From Naive to GraphRAG
A comprehensive guide exploring the evolution of RAG architectures—from Naive to GraphRAG—and how to choose the right pipeline to eliminate LLM hallucinations.
Beyond Traditional ML: Why and When We Actually Need Deep Learning
Breaking down the bottlenecks of traditional ML and identifying the exact scenarios where Deep Learning architectures like CNNs and Transformers become a necessity.
Awakening the Giant: How We Tamed VideoMAEv2-Huge
A deep dive into tackling driver drowsiness using Precision Temporal Chunking, Action-Level Reframing, and LoRA to efficiently fine-tune a 600M+ parameter model.
SKILLS ACQUIRED
Getting Started with Linux Fundamentals
Red Hat • 2025
Advanced SQL
HackerRank • 2025
Responsive Web Design
freeCodeCamp • 2025
BATTLE RESULTS
1st Place — Alphathon 2026
Data Science Indonesia & WorldQuant Brain • 2026
Won the national alphathon competition...
1st Place — ML Competition Data Slayer 3.0
Telkom University Purwokerto • 2025
First place in machine learning competition...
1st Place — Data Science Competition
TETI Programming Week – UGM • 2025
Won the data science competition...
Finalist — Student Digital Innovation
Kemendikbudristek RI • 2025
National finalist...
LET'S STEAL
SOME HEARTS
Open to AI/ML engineering roles, freelance projects, or collaborative research.
Currently completing my final year at UGM. Available for part-time roles, freelance AI/ML projects, and research collaborations.
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