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Projects

Below you’ll find four recent, ML‑focused projects that best illustrate my current research direction; for a broader view of my work in scientific‑software engineering, data‑science pipelines and fundamental‑physics research, please reach out or explore the My Resume section of this site.

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End‑to‑End Graph Neural Network Pipeline

Scalable event reconstruction for next‑generation LHC data rates.

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Dual‑Agent RLHF Monitoring System

Multi‑agent RL balancing anomaly detection performance and intervention costs, laying groundwork for scalable, adaptive oversight.

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Interpretable Adaptive Anomaly Detection

Production‑deployed statistical engine with a continual‑learning transformer variant, cutting manual review by 67% under evolving conditions.

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Founder & Convenor, LHCb ML Forum

Promoting MLOps alignment and facilitating external AI opportunities for 1,600+ LHCb members at CERN.

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