I'm an AI Systems Engineer and a Computer Engineering MASc candidate. My work primarily focuses on edge-cloud networks, machine learning optimization, and building distributed infrastructure. Rather than just working with data, I enjoy digging into the systems side of things—whether that's benchmarking hardware bottlenecks or orchestrating self-hosted CI/CD pipelines.
Outside of my academic research, I'm a big fan of terminal-based workflows, building fast CLI tools, and continuously tweaking my Neovim setup.
🔗 Links: Website | LinkedIn | Email
- Researching adaptive semantic image transmission and ML optimization in edge-cloud optical fiber networks.
- Architecting self-hosted, multi-layered proxy topographies and CI/CD pipelines using Docker, Jenkins, and Nginx.
- Training reinforcement learning agents in custom DSP audio environments using OpenAI Gym and Stable-Baselines3.
- Network-Aware Adaptive Semantic Image Transmission in Edge-Cloud Communications (MECOM 2025, IEEE Xplore)
- Boosting Edge-to-Cloud Data Transmission Efficiency with Semantic Transcoding (CCECE 2024, IEEE Xplore)
