Competition · 2025 Juara Umum
Kontes Robot Terbang Indonesia (KRTI) 2025
Member of the Gamaforce UGM Technology Development team crowned overall champion (Juara Umum) at KRTI 2025, hosted by Universitas Andalas (UNAND) in Padang.
Open to work
/ AI Product Specialist / Yogyakarta, ID
Aldy
Ardiansyah
I work as an AI Product Specialist with a Fullstack Machine Learning Engineer background, focused on computer vision, deep learning, OCR, RAG, and LLM integration, shipping practical AI products that work in production.
- 7
- Awards
- 26
- Projects
- 3+
- Years
- 5
- Press
Field unit · CV-01
Tools & Technologies I work with
Python 
PyTorch 
TensorFlow 
ONNX 
OpenCV 
Scikit-learn 
NumPy 
Pandas 
Keras 
RapidOCR 
PaddleOCR 
Tesseract 
RAG 
LLM Integration Python PyTorch TensorFlow ONNX OpenCV Scikit-learn NumPy Pandas Keras RapidOCR PaddleOCR Tesseract RAG LLM Integration 
FastAPI 
Docker 
PostgreSQL 
MySQL 
MongoDB 
SQLite 
ChromaDB 
Groq 
Ollama 
Next.js 
React 
TypeScript 
Tailwind CSS 
Node.js 
Git 
Linux 
Vercel 
Railway FastAPI Docker PostgreSQL MySQL MongoDB SQLite ChromaDB Groq Ollama Next.js React TypeScript Tailwind CSS Node.js Git Linux Vercel Railway 01
About
Turning research into products
Aldy Ardiansyah is an AI Product Specialist with a Fullstack Machine Learning Engineer background and a Software Engineering Technology (TRPL) degree from Universitas Gadjah Mada (UGM), based in Yogyakarta, Indonesia. He ships practical AI products that work in production, focused on computer vision, deep learning, OCR, and LLM integration with retrieval-augmented generation (RAG) for document intelligence. His work spans real-time computer vision for the oil and gas industry, IoT health-monitoring devices, UAV ground control systems, and grounded document Q&A with traceable citations. A multiple-time national competition winner, he took 2nd place at Samsung Innovation Campus 2023/2024 and Hackathon elevAIte Indonesia 2025, and joined the UGM team crowned overall champion at Kontes Robot Terbang Indonesia (KRTI) 2025.
Education
D4 Software Engineering Technology
Universitas Gadjah Mada
Based in
Yogyakarta
Indonesia
Focus
AI Product Specialist
Computer vision, deep learning, RAG & LLM integration
Languages
Indonesian · English
Cross-cultural teams
02
Projects
Selected work
Machine learning, computer vision, OCR, RAG, and full-stack projects, from research to shipped products.
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View all 26 projects → Intelligent Document Assistant (RAG)
RAG-based document Q&A assistant: upload PDF, TXT, or Markdown, then ask questions in Indonesian and get answers with cl…
AI / Backend Engineer ML October 2026
Smart Document Scanner & OCR Service
Production-ready scanning pipeline: detects a card or document in a photograph, corrects its perspective, enhances legib…
Computer Vision Engineer ML September - October 2026
Shale Shaker Cutting Monitoring Web
Built as my undergraduate thesis (Tugas Akhir): a full migration of the desktop shale-shaker monitoring system to the we…
Full-Stack ML Engineer ML 2026
RigDaily Daily Drilling Report System
Daily well operations reporting that connects rig and office in one controlled report flow: DDR, 24 hour time breakdown,…
Full-Stack Developer Web 2026
ShelfOpsRetail Operations Platform
Retail operations OS that turns CCTV and shelf photos into actionable numbers: stable-ID visitor tracking, per-zone dwel…
Full-Stack Developer Web 2026
DataLoom Data Operator Workspace
Data operator workspace to build, run, and monitor end to end pipelines. Raw data lands in Bronze, is cleaned determinis…
Full-Stack Data Engineer DE October 2026
Visit Bantaragung Tourism Platform
Built Visit Bantaragung, the official smart-tourism platform for Desa Wisata Bantaragung in Majalengka, as an all-in-one…
Full-Stack AI Engineer Web December 2025 - February 2026
LolosCV ATS Resume Builder
Free resume builder that works backwards from the job posting: paste a LinkedIn, JobStreet, or Glints job URL (or the ra…
Full-Stack Developer Web September 2026
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Experience
Career timeline
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February 2026 - Present
Research Paper Assistant
Sekolah Vokasi Universitas Gadjah Mada (SV UGM) · Part-time · Remote Under review
Benchmarking YOLOv8s-seg against Mask R-CNN for real-time instance segmentation of drill cuttings on shale shakers: measuring segmentation accuracy against inference speed to decide which model fits live deployment.
PythonPyTorchYOLOv8s-segMask R-CNN -
September 2025 - January 2026
Internship Machine Learning Engineer
Advisor Lauren Co., Ltd. · Internship · Remote · South Korea
Led around 40 annotators across Indonesia building a large-scale dataset of 100,000 real drone-inspection photos for a vision language model detecting defects at wind turbine power plants. Wrote the annotation guidelines, ran quality control on incoming labels, and tracked daily throughput, with labels verified by domain experts.
Vision Language ModelsDataset CurationAnnotation QA -
May 2025 - November 2025
Research Paper Assistant
Sekolah Vokasi Universitas Gadjah Mada (SV UGM) · Part-time · Remote Awaiting publication
Conducted theoretical research comparing YOLOv8 and Re-Detr models for rock detection and classification, extending findings from the Shale Shaker Cuttings Estimations project.
PythonPyTorchYOLOv8Re-Detr -
January 2025 - July 2025
Full Stack Machine Learning Engineer
PT Parama Data Unit · Contract · Yogyakarta, Indonesia
Developed a desktop application using Python for real-time monitoring and analysis for Oil and Gas Company, integrated with existing enterprise systems using WITS-Level-0 format protocols for data transmission. Ensured compatibility across Windows 7 to 11, addressing diverse OS kernel requirements.
PythonPyQt5PandasNumPy -
September 2024 - January 2025
Internship Machine Learning Engineer
PT Parama Data Unit · Internship · Yogyakarta, Indonesia
Developed a computer vision system for shale shaker cuttings estimation in Oil and Gas Company, focusing on real-time rock detection and analysis to enhance drilling process efficiency.
PythonOpenCVNumPyFlaskPostgreSQLSocket.IO
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Awards & Honors
Recognition
National and international competitions, programs, and honors.
Competition · 2025 
Competition · 2025 Juara 2
Hackaton elevAIte Indonesia 2025
Recognized for developing SleepSense, an IoT device for real-time monitoring of Obstructive Sleep Apnea (OSA), integrating ECG, respiratory patterns, and pulse oximetry.
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Competition · 2024 Juara 2
Samsung Innovation Campus Batch 5
Recognized for developing MotoRescue, an IoT-based road line detection system to enhance road safety and navigation.
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Competition · 2024 People Choice Award
Samsung Innovation Campus Batch 5
Received for developing MotoRescue, an IoT-based road line detection system, recognized for its user-friendly deployment and practical impact.
Competition · 2025 Finalist ProtoTech Contest 2.0
Sandbox IEEE ITB
Recognized as a finalist for developing SleepSense, an IoT device for real-time monitoring of Obstructive Sleep Apnea (OSA), integrating ECG, respiratory patterns, and pulse oximetry.
Competition · 2024 Juara 1
Kontes Robot Terbang Indonesia 2024 (Divisi Technology Development)
Contributed as a Technology Development team member by developing a Ground Control Station (GCS) for an unmanned aerial vehicle (UAV) focused on national self-reliance and sustainable progress.
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Highlights & Press
Press
Coverage of my work and achievements, published by Universitas Gadjah Mada.
Experience · May 6, 2026
International MBKM Internship as ML Engineer at Advisor Lauren
Aldy Ardiansyah joined an international MBKM internship at Advisor Lauren as a Machine Learning Engineer, working on a Woori Bank financial app and a large-scale computer vision dataset for wind turbine blade damage detection.
Research · October 28, 2025
Computer Vision Research for the Oil & Gas Industry (SV UGM × PDU)
Competition · October 23, 2025
Indonesian Flying Robot Contest (KRTI) 2025: UGM Overall Champion
Award · June 21, 2025
Runner-Up at Hackathon elevAIte Indonesia 2025
Award · October 17, 2024
All highlights → Runner-Up & People’s Choice Award at Samsung Innovation Campus 2023/2024
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Community
Teams & organizations
Dec 2023 - Nov 2025 GAMAFORCE UGM
Software Programmer · Research Organization
Contributed to the Khageswara Ground Control Station (GCS) subteam at GAMAFORCE UGM, a flying robot team focused on aerospace technology and UAV development, by developing GCS applications.
- Developed GCS applications for UAV
- Collaborated with the team to achieve first place in Kontes Robot Terbang Indonesia 2024 (Technology Development Division)
Mar 2024 - Mar 2025 Association of Software Engineering Technology Students UGM
Public Relation and Publication Staff · Student Organization
Served as Public Relations and Publication Staff at ASSETS UGM, managing communication and social media content to promote the organization's activities and engage with the public.
- Created and disseminated social media content to increase organization visibility
- Managed social media platforms, improving engagement through effective copywriting
Oct 2023 - Nov 2023 Google Developer Student Clubs UGM
Hacker · Developer Community
Actively participated in Google Developer Student Clubs (GDSC) UGM, contributing to the development of BIN-GO!, a mobile app addressing the waste crisis in Yogyakarta through Google Maps integration and waste management features.
- Developed the Bin-Locator map feature for BIN-GO! using Google Maps API and Firebase
- Collaborated on debugging and optimizing the BIN-GO! app for enhanced user experience
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Moments
From the field
Competition · 2025
Hackaton elevAIte Indonesia 2025
Juara 2 Chapter UGM
Innovation · 2024
Samsung Innovation Campus Batch 5
Juara 2 & People Choice Awards
Team · 2024
Google Solution Challenge
Global Top 100 GDSC solution challenge 2024
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FAQ
Asked about me
Short answers for recruiters, collaborators, and search engines.
Who is Aldy Ardiansyah? +
Aldy Ardiansyah is an AI Product Specialist with a Fullstack Machine Learning Engineer background from Universitas Gadjah Mada (UGM) in Yogyakarta, Indonesia, specializing in computer vision, deep learning, RAG, and LLM integration. He has won multiple national AI and innovation competitions.
What does Aldy Ardiansyah specialize in? +
He specializes in computer vision, deep learning, and MLOps, and increasingly in retrieval-augmented generation (RAG) and LLM integration. His systems include real-time object detection, OCR-based document intelligence, grounded document question answering with traceable citations, IoT health-monitoring devices, and UAV ground control stations, built with Python, PyTorch, TensorFlow, FastAPI, Next.js, and Docker.
What are Aldy Ardiansyah’s notable achievements? +
He won 2nd place and the People’s Choice Award at Samsung Innovation Campus 2023/2024, 2nd place at Hackathon elevAIte Indonesia 2025, and was part of the UGM team that became overall champion at the Indonesian Flying Robot Contest (KRTI) 2025.
Is Aldy Ardiansyah a fullstack machine learning engineer? +
Yes. He works across the full stack: computer vision models, deep learning training, OCR and RAG pipelines, MLOps deployment, and the web dashboards and APIs around them, using Python, PyTorch, TensorFlow, FastAPI, Next.js, React, ChromaDB, Docker, and Groq or Ollama for LLM inference.
What AI and OCR projects has Aldy Ardiansyah shipped? +
Recent shipped work includes Intelligent Document Assistant, a RAG document Q&A system with traceable citations that refuses to answer without context; Smart Document Scanner, an OCR pipeline built on RapidOCR and PP-OCRv6 over ONNX Runtime; PasFotoIn, an on-device photo editor running ONNX segmentation in the browser; and LolosCV, an ATS resume builder with job-posting analysis.
Which Aldy Ardiansyah is this portfolio about? +
This portfolio belongs to Aldy Ardiansyah, the AI Product Specialist and Fullstack Machine Learning Engineer from Yogyakarta, Indonesia, with a Software Engineering Technology (TRPL) background from Universitas Gadjah Mada (UGM). His work includes computer vision for the oil and gas industry with PT Parama Data Unit, IoT health devices, UAV systems with Gamaforce UGM, and dataset work with Advisor Lauren Co., Ltd.
What is aldyardnsyh.my.id? +
The personal portfolio domain of Aldy Ardiansyah, AI Product Specialist and Fullstack Machine Learning Engineer from Yogyakarta, Indonesia. The shortened domain drops the vowels of Ardiansyah but belongs to the same person.
How can I contact Aldy Ardiansyah? +
The fastest way is the contact form at https://aldyardnsyh.my.id/signal, which opens your mail app addressed to him. You can also connect through his GitHub and LinkedIn profiles linked on this portfolio.
Contact
Have a system to ship?
I am open to full-time ML roles, freelance builds, and research collaborations in computer vision and MLOps. Email works fastest.