Cloud & AI Enthusiast.
Building intelligent systems.
I am a Software Engineer focused on designing resilient cloud infrastructures and developing computer vision solutions. Currently diving deep into cloud security and architecture.
Featured Projects
Selected works in AI, Computer Vision, and Cloud.
Medical Image Deepfake Detection using YOLOv11
A lightweight, binary classification system utilizing YOLOv11 to detect CT-GAN and Stable Diffusion manipulated lung CT scans, evaluated against potential model biases and visual masking techniques.
GreenEye: AI-Powered Indonesian Plant Recognition
A cloud-based computer vision system that identifies Indonesian plant species using a fine-tuned MobileNetV2 model integrated into a mobile application.
Technical Arsenal
Core competencies and the technical "chain" of tools I use.
Cloud Infrastructure
AWS ecosystem architecture, EC2 optimization, and FinOps practices.
DevSecOps
Docker containerization and security auditing.
AI & Vision
YOLOv11 implementation and model optimizations.
System Forensics
Analyzing CloudTrail logs with Amazon Athena for incident response.
Experience & Education
My professional journey, technical training, and academic foundation.
Experience
AWS re/Start Graduate
- Cloud Incident Response & Forensics: Accelerated security incident mitigation by conducting real-time digital forensics on log anomalies, utilizing SQL queries in Amazon Athena to analyze thousands of AWS CloudTrail logs.
- Architecture Modernization: Modernized legacy monolith architectures into highly available microservices by building application containers with Docker, deploying to Amazon ECS & ECR, and managing network traffic via Application Load Balancer (ALB).
- FinOps & Optimization: Projected up to a 50% reduction in cloud compute costs through FinOps audits, legacy workload cleanup, and programmatic downsizing of Amazon EC2 instances via the AWS CLI.
System Flow & Research Intern
- Analyzed user journeys and mapped system workflows for help features, ensuring logical and well-documented user interaction flows.
- Translated operational requirements into functional prototypes to bridge technical communication between end-users and the engineering team.
Academic Background
Bachelor of Informatics Engineering (S1)
- Specialization: Deep Learning, Computer Vision, and Cloud Infrastructure.
- Thesis / Final Project: Authored research on 'Medical Image Deepfake Detection utilizing YOLOv11', performing hyperparameter tuning with Optuna to optimize performance.
- Validation: Successfully proved model reliability through Stratified K-Fold Cross-Validation, effectively preventing data leakage and overfitting scenarios.
Digital Garden
Continuous learning and architectural experiments.
Serverless NoSQL Database Management using Amazon DynamoDB and Boto3
Demonstrating the design, manipulation, and optimization of Amazon DynamoDB using the AWS SDK for Python (Boto3) and the AWS CLI.
Secure Static Website Hosting & Automation using Amazon S3 and Boto3
Implementing Amazon S3 for static website hosting, enforcing IP-based access security, and automating content deployment using Python (Boto3) and the AWS CLI.
Advanced VPC Troubleshooting & Network Traffic Analysis using VPC Flow Logs
Foundational documentation on configuring a Virtual Private Cloud and deploying secure EC2 instances from scratch.