Building AI That Ships
I'm Aqim Try Kurnia, an AI Engineer specializing in Computer Vision, Edge Computing, and Intelligent Automation.
I build production-ready systems that connect AI models, embedded devices, sensors, and cloud platforms into scalable real-world solutions.
Behind the Code
I am an AI Engineer with a strong foundation in Computer Engineering. My passion lies in building intelligent systems that bridge Artificial Intelligence, embedded hardware, cloud infrastructure, and real-world operations.
I specialize in designing end-to-end AI solutions—from data collection and model development to edge deployment, automation, and cloud integration. My work focuses on transforming complex operational challenges into scalable, production-ready systems that deliver measurable impact.
// Experience
Where I've Worked
From open-source computing to scalable AI deployments.
Nusabin
AI Engineer
Developed YOLOv8-based object detection models for real-time waste classification and deployed them on NVIDIA Jetson Orin Nano. Designed computer vision pipelines integrated with MCUs and managed continuous learning workflows on AWS S3.
PT Wijaya Karya (persero) Tbk
AI Engineer Intern
Built a PPE detection system using YOLOv8 on Raspberry Pi 5 and Hailo AI Kit. Designed real-time data pipelines via MQTT with Docker deployment, and integrated inferences into a Laravel dashboard.
IPB University
Assistant Lecturer
Assisted in delivering coursework on Networking, IoT, and AI (Computer Vision). Guided students in labs, assessed assignments, and supported various academic hardware & software projects.
// Selected Works
Featured Projects
A selection of my recent AI engineering projects, demonstrating real-world applications in edge computing and computer vision.
01
Smart Waste Sorting System
Click for project details
01
Smart Waste Sorting System
Production-grade SmartBin platform utilizing YOLOv8, Edge AI, and embedded automation to identify, classify, and sort waste materials autonomously with real-time decision making.
02
Traceable Recycling & Reward Platform
Click for project details
02
Traceable Recycling & Reward Platform
A traceable recycling platform that connects AI-powered waste classification with authenticated disposal sessions and automated reward mechanisms. The system enables users to scan, recycle, earn points, and track recycling activities through a secure and data-driven workflow.
03
Industrial Safety Monitoring System
Click for project details
03
Industrial Safety Monitoring System
Real-time PPE compliance monitoring system designed for construction environments. Powered by YOLOv8 and deployed on Raspberry Pi 5 with Hailo AI acceleration, the platform automatically detects safety violations and delivers alerts through MQTT-based infrastructure.
// Core Competencies
Technical Arsenal
A combination of AI, edge computing, embedded systems, and cloud technologies used to build production-grade intelligent systems deployed in real-world environments.
Machine Learning & AI
Data & Infrastructure
Edge Devices
Let's Build Something
Have a project in mind or just want to chat about AI development? I'm always open to discussing new opportunities.
aqimtrykurnia27@gmail.com© 2026 Aqim Try Kurnia. All rights reserved.