Neopark Smart Parking System
AI-powered smart parking system using computer vision to detect vehicle presence in real-time, with edge computing and a live monitoring dashboard.

Full-Stack Engineer building real-world AI systems — from computer vision to IoT backends to production web platforms.
About
With a deep passion for AI systems and modern web engineering, I focus on bridging the gap between intelligent algorithms and real-world applications. I've shipped production computer vision systems, designed IoT backends, and built full-stack platforms — always driven by impact. From edge computing to cloud infrastructure, I build things that actually work. Let's create something extraordinary together.
Expertise
Building high-performance, production-ready web platforms using modern frameworks like Next.js, React, and Node.js. Experienced in shipping real products from concept to deployment.
Training, optimizing, and deploying deep learning models for real-world applications — including custom YOLOv11 architectures for industrial safety monitoring with 94%+ accuracy.
Architecting end-to-end IoT systems connecting ESP32-CAM edge devices, CCTV/NVR networks, and data pipelines to centralized AI backends.
Designing containerized services with Docker, data pipelines on AWS (S3, Lambda), and CI/CD workflows. Certified in AWS Data Engineering and Azure AI Fundamentals.
Building ETL pipelines, automated integration workflows (n8n), real-time data monitoring, and Looker Studio dashboards for reliable, production-grade data flows.
Selected Works
AI-powered smart parking system using computer vision to detect vehicle presence in real-time, with edge computing and a live monitoring dashboard.
Production-deployed computer vision system for industrial safety at Pertamina facilities — full lifecycle from dataset curation to real-time dashboard.
End-to-end service business web platform with automated booking, real-time calendar integration, and transactional email workflows. Shipped with real users.
S1 thesis modifying YOLOv11 with Coordinate Attention on the neck module — improving small PPE object detection for industrial settings.
IoT health screening system integrating ESP32-CAM edge devices with a centralized AI processing unit — containerized with Docker and optimized with MLOps pipelines.
Real-time gold price monitoring with automated scraping, API integration, data storage in Google Sheets, Looker Studio visualization, and Telegram bot alerts.
This portfolio shipped end-to-end on AWS: static export on S3, served via CloudFront with a custom domain on Route 53, and a serverless visitor counter on Lambda + API Gateway + DynamoDB — fully automated with a GitHub Actions deploy pipeline.