Coding Projects
Engineering projects focused on systems, DevOps, and full-stack development
Orthoman
A cloud-native full-stack medical cabinet management application built with Django, PostgreSQL, and React. The platform is containerized using Docker and leverages Redis for real-time features and caching. It supports patient management, scheduling, billing, chat, and real-time synchronization. The application is deployed in a medical cabinet and actively maintained in production. It follows modern DevOps practices with automated CI/CD pipelines powered by GitHub Actions for continuous integration, testing, and deployment, ensuring scalability, reliability, and rapid delivery.
Django
React
PostgreSQL
Docker
Redis
CI/CD
GitHub Actions
Cloud Native
DevOps
Production
Lykeio
A custom lightweight Linux distribution designed for educational environments. It enables the reuse of obsolete hardware by transforming machines into efficient thin clients, reducing costs and improving accessibility.
Linux
System Design
Bash
Networking
Hospital IDS Deployment (Snort)
Design and deployment of a network-based intrusion detection system (NIDS) using Snort within a hospital infrastructure. The project involved analyzing the existing network architecture, positioning the IDS strategically, configuring a Linux-based gateway, and implementing rule-based detection for real-time monitoring of network traffic. It included malware analysis, custom rule creation, and validation through simulated attacks. The solution enhanced the security posture of the hospital by enabling continuous monitoring and alerting of suspicious activities.
Cybersecurity
Network Security
IDS
Snort
Linux
Networking
Malware Analysis
VM-Manager
A Python-based virtual machine management tool built on top of libvirt. It allows creation, monitoring, and orchestration of KVM virtual machines through a simplified interface, designed to improve infrastructure control and automation.
Python
KVM
Libvirt
Virtualization
Systems Engineering
Research
Research projects in privacy-preserving machine learning and cryptography
PrivatumFL
A federated learning framework integrating central differential privacy to ensure data confidentiality during distributed training. Focused on balancing privacy guarantees with model utility across multiple datasets.
Federated Learning
Differential Privacy
Privacy
zkSnarkDP
A research project combining zero-knowledge proofs (zk-SNARKs) with differential privacy to provide verifiable and trustworthy aggregation in federated learning systems without exposing sensitive data.
Zero-Knowledge Proofs
Cryptography
Differential Privacy
Security
