👋 Basic Information
Full Name: Ganesan Nagabushnam
Short Bio: Distributed Systems & ML Researcher Former Enterprise Software Team Manager (10 Years) Optimizing scalable multi-agent deep reinforcement learning for high-density fog and edge infrastructures.
Location: Daegu, South Korea
🛠️ Tech Stack
Python
Java
TensorFlow
PyTorch
OpenAI Gym
Stable-Baselines3
Docker & Git
AWS & Azure
MATLAB
COSCO Framework & iFogSim
🚀 Featured Projects
(Note: Since your CV notes your primary algorithms as registered intellectual property rather than open-source repositories, GitHub links are noted as IP.)
FADDEER: Deep Multi-Agent RL Scheduler
Short Description: A deep multi-agent reinforcement learning scheduling algorithm that guarantees deadline adherence under 100-1,000 concurrent aperiodic tasks.
Registered as protected Software Copyright Registrations (KIPO Reg. No. 2025-035551). FAMASO: Fog-Adaptive Scheduling Optimization
Short Description: An deployable scheduling algorithm for deadline-constrained, energy-aware scheduling in fog/cloud networks.
Registered as protected Software Copyright Registrations (KIPO Reg. No. 2025-035548).
