Software Engineer, 4th Year
Passionate about DevOps, Networking, AI, and full-stack development. Specialized in building scalable infrastructure, automating deployment pipelines, and developing AI-powered applications.
Passionate about DevOps, Networking, AI, and full-stack development. Specialized in building scalable infrastructure, automating deployment pipelines, and developing AI-powered applications.
Automation of development, deployment, and operations processes using tools like Docker, Kubernetes, and CI/CD pipelines.
Designing and managing complex network systems, including OpenWRT configurations and cloud networking
Developing intelligent systems using TensorFlow, PyTorch, and custom algorithms
Building robust APIs and microservices using Node.js, Python, and Go
Modern web application development using React, TypeScript, and Next.js
Cross-platform mobile app development with Flutter and React Native
Designing cloud-native systems, automating CI/CD pipelines using Docker, Jenkins, and GitHub Actions, and building secure, scalable infrastructure on AWS, GCP, and Cloudflare.
Developing recommendation systems, signal processing models, and real-time visual recognition solutions using deep learning and reinforcement learning techniques.
Building advanced system infrastructures with virtual networks, self-hosted services, and secure environments using OpenWRT, Proxmox, and Debian-based systems.
Developing secure, responsive, and scalable web applications using React, Next.js, and Express, with full-lifecycle support and automation.
Strengthening network privacy and security using Pi-hole, firewalls, DNS sinkholes, SQM, and DPI bypassing techniques, with real-time monitoring via Grafana.
Creating high-performance, native-feel mobile apps for Android and iOS using Flutter and React Native, integrated with Firebase, REST APIs, and local databases.
A deep-learning audio classification system that uses mel-spectrogram features and a compact CNN to automatically classify music into genres, with a full web UI and REST API for inference.
A deep learning–based biomedical AI system that classifies cardiac arrhythmias from ECG signals using the PTB-XL dataset, leveraging CNN architectures and advanced preprocessing for clinical-grade performance.
A pathfinding and optimization system that calculates the most efficient flight routes using graph algorithms and real-world aviation data, integrating Dijkstra and A* algorithms with dynamic visualization.
A browser‑native “mini OS” built with Next.js/React that mimics a desktop environment with a start menu, taskbar, floating windows, and an interactive terminal.
React
Next.js
TypeScript
TailwindCSS
Node.js
MongoDB
PostgreSQL
Python
TensorFlow
PyTorch
Flutter
Firebase
Bash
Linux
Docker
Kubernetes
Jenkins
AWS
Cloudflare
OpenWRT
Started my career as a freelance developer, creating custom Python scripts tailored to client needs.
Joined Shiftsoft as a junior developer, focusing on full-stack development with the MERN stack (MongoDB, Express.js, React, Node.js).
Developed practical applications in AI and machine learning for academic and personal projects, leveraging my Python knowledge.
Built and managed my own home network infrastructure using OpenWRT and self-hosted services, creating a fully automated and secure network environment.
Completed an internship at Idamobile, contributing to DevOps, AI, network programming, and full-stack development projects. This experience provided the opportunity to apply my skills in real-world projects and work with industry professionals.
