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.
UX/UI Research & Frontend Developer Intern
- Translated stakeholder requirements into functional prototypes and mapped end-to-end help desk workflows, improving system structure, issue tracking, and cross-team communication.
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.
Threat Hunting & Malware Analysis: Incident Response with Mandiant Redline
Conducted a live threat hunt on a remote disk image using Mandiant IOC Editor and Redline to identify and isolate live malware samples based on custom Indicators of Compromise (IOCs).
Dark Web OSINT: Infiltrating a Narcotics Syndicate's Onion Site
Conducted an undercover Dark Web investigation on the TOR network to infiltrate a hidden service, decode cryptographic communications, and extract actionable intelligence on a drug trafficking syndicate.
Digital Forensics: Disk Image Analysis & Data Exfiltration Tracking
Conducted a digital forensics investigation on a suspect's hard drive image to uncover hidden evidence of data exfiltration using steganography, password cracking, and file signature analysis.