Nisha Lad is a Machine Learning Engineer based in London with a decade of experience applying data science and DevOps practices to production ML systems. Currently at Trainline, she bridges rigorous engineering with physics-informed intuition, drawing on an academic background from UCL and a study-abroad physics stint at the University of Washington. Her Github interests span data science, DevOps, and physics, reflecting a pragmatic, end-to-end approach to model development and deployment. Nisha is comfortable moving models from prototype to scalable services and often leverages cross-disciplinary techniques from physics to improve model robustness. Colleagues describe her as both methodical and curious, with a knack for turning complex datasets into reliable, maintainable pipelines.
10 years of coding experience
Study Abroad, Physics, Study Abroad, Physics at University of Washington
Development of a GNN-based architecture for fast track finding & pattern recognition in high-energy particle physics detectors
Contributions:14 PRs, 56 pushes, 4 branches in 1 year 4 months
physicsparticlegnndeep-learningfinding
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Nisha Lad - Machine Learning Engineer at Trainline