I am a Master’s graduate in Artificial Intelligence with hands-on experience across machine learning, natural language processing, computer vision, and time-series forecasting. I am proficient in Python, SQL, PyTorch, TensorFlow, and scikit-learn, and I enjoy building reproducible data pipelines and communicating model trade-offs in clear, practical terms.
My recent work includes end-to-end training pipelines for foundation models in atmospheric forecasting and multilingual evaluation frameworks, as well as an AI-enabled outreach internship where I applied data tooling to optimize engagement. I thrive in collaborative environments and enjoy turning complex research into actionable solutions.
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