Document validation accuracy
MutyayasaAdji Nugroho.
I build intelligent systems that make complex data clear, useful, and ready for the real world.
01 / 04BUILDING FROMINDONESIA
Flood prediction accuracy
Industry experiences
Languages spoken
Ideas made
operational.
A selection of systems where AI, data, and product engineering come together to solve a measurable problem.
Document Intelligence
Verification System
A production web workflow that uses AWS Textract, optimized image pre-processing, and validation rules to turn uploaded reports into fast, reliable decisions.
Jakarta Flood
Risk Intelligence
Rainfall, river, and GIS data translated into a predictive view of flood-prone areas for better risk management.
METI Digital
Member Platform
A bilingual production platform connecting membership, payments, authentication, admin tools, and internal systems in one dependable flow.
A builder’s
trajectory.
From spatial analytics to production AI, government monitoring, and full-stack delivery—each chapter expanded the kind of problems I can own end to end.
IT Assistant / Full-Stack Dashboard Developer
Kementerian PUPR — Direktorat Jenderal Bina Marga
Building an executive toll-road monitoring dashboard for Renstra projects, combining project progress, GIS maps, filtering, structured data, and automated PowerPoint reporting.
Freelance Full-Stack Web Developer
Masyarakat Energi Terbarukan Indonesia (METI)
Developing and operating a bilingual organizational platform covering authentication, memberships, payments, administration, internal systems, SEO, and production deployment.
Artificial Intelligence Engineer Intern
PT Visionet Data Internasional
Developed document intelligence, an AWS Bedrock analytics assistant, and a custom YOLO object-detection pipeline to accelerate field-report verification.
Application Developer Intern
SuperMap GIS
Built a flood detection and prediction application using rainfall and river data, paired with geospatial visualization for clearer risk decisions.
Curious by default.
Practical by design.
I’m an AI-specialized Computer Science graduate who enjoys the whole journey—from finding signal in messy data to shipping the interface people actually use.
My sweet spot sits between machine intelligence and product engineering: building systems with Python, FastAPI, PostgreSQL, AWS, C#, .NET, and Vue that are technically sound, measurable, and understandable.
Computer Vision, Machine Learning, Deep Learning, YOLO, AWS Bedrock, Textract
Python, FastAPI, C#, .NET Core, Nuxt, Vue.js, Node.js, REST APIs
PostgreSQL, SQL Server, AWS, Git, GIS, Report Automation, SEO, cPanel
2021—2025
B.Sc. Computer Science
Bina Nusantara University
Artificial Intelligence specialization · GPA 3.32 / 4.002024
Information Systems
Universitas Multimedia Nusantara
Data Engineering & Analytics · GPA 3.88Research & recognition
Mapping Jakarta’s flood susceptibility.
Research article submitted to AIP, alongside a Data Analysis & Visualization certification from Kominfo’s Talent Scouting Academy.Let’s make it
work intelligently.
I’m open to AI engineering, machine learning, and full-stack opportunities where thoughtful technology can create a real result.