Hussein Ertimi

I’m a recent Electrical & Electronic Engineering graduate (Computer & Control) from the University of Tripoli. I currently work as an AI Engineer at the Central Bank of Libya, contributing to AI solutions for enterprise systems and internal workflows.

My background blends machine learning implementation with systems thinking: I’ve rebuilt research codebases from scratch, developed end-to-end NLP/LLM pipelines (including retrieval-augmented systems), and explored efficiency constraints through FPGA prototyping. I also led the IEEE Student Branch at the University of Tripoli (13-member executive committee; grew membership from ~50 to 150+; organized major events; secured ~50,000 LYD sponsorships), and designed and delivered a full Computer Architecture online course accessed by 300+ peers.

I’m looking to grow in research and engineering work that improves the reliability, interpretability, and scalability of modern ML systems—especially foundation models and agentic systems.

Skills

• Programming: Python, C/C++
• Machine Learning: PyTorch, scikit-learn
• Data: SQL, pandas, NumPy
• Modeling & Simulation: MATLAB, Simulink
• Hardware & FPGA: Verilog, Digital Logic Design, Quartus Prime, ModelSim/Questa
• Software & Tools: Git, VS Code, Jupyter, PyCharm

Interests

• ML Systems
• Foundation Models / LLMs
• AI Interpretability
• Robust ML
• Agentic AI
• Efficient Neural Architectures
• Edge/Embedded AI