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About me

I build and stress-test AI for systems where mistakes are expensive: frontier LLM reasoning, 5G/6G resource allocation, and robust decisions under real-world constraints.
🔍 AI evaluation
At Outlier AI, I evaluate model reasoning on advanced wireless AI and reinforcement learning problems. I design adversarial technical challenges, evaluate model outputs against peer-reviewed literature, and document failures in reasoning, factual accuracy, and unsupported assumptions.
📡 Telecom AI + reinforcement learning
My Ph.D. research at École de technologie supérieure (ÉTS) developed multi-agent, hybrid-action, and federated hierarchical reinforcement learning methods for cognitive radio, radio resource management, and 6G non-terrestrial networks. This work has produced 7 peer-reviewed publications with 250+ citations in venues including IEEE OJ-COMS, Internet of Things Journal, Access, and GLOBECOM.
🏗 Industry R&D
At Ericsson's Global AI Accelerator, I developed and benchmarked reinforcement-learning approaches to radio resource allocation, working with telecom requirements informed by 3GPP and O-RAN. My work across research and industry has emphasized reproducible experiments, meaningful baselines, robustness testing, and clear technical reporting.
🧠 Core expertise
• Reinforcement learning, multi-agent RL, federated RL, hierarchical RL
• LLM evaluation, AI safety, model robustness, failure-mode analysis
• 5G/6G, cognitive radio, RAN/O-RAN, 3GPP, NTN, radio resource allocation
• Python, PyTorch, Ray RLlib, TensorFlow
🤝 Leadership
I've served in multiple IEEE leadership roles, including Industrial Relations Manager for IEEE Young Professionals, Treasurer for IEEE Women in Engineering, and founder of IEEE WIE ÉTS Branch. I've organized panels connecting Quebec's engineering, government, and industry leadership, and fostered collaborations between ÉTS and the Montreal tech industry.
🎯 Open to
Assistant Professor AI/Telecom, Data Scientist, Machine Learning Engineer, AI Research Scientist, LLM Evaluation, AI Safety, and Telecom AI roles across 5G/6G, wireless systems, RAN/O-RAN, resource allocation, and robust ML.

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