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I'm a graduate student @

As I prepare to graduate with a Master’s degree in Artificial Intelligence Engineering with a specialization in Biomedical Engineering from Carnegie Mellon University, I am actively seeking full-time roles starting January 2025. My academic and research experiences are deeply rooted in leveraging AI to revolutionize medical technology applications.

My technical toolkit is comprehensive, encompassing programming languages such as Python, C++, and MATLAB, and proficiency in essential AI frameworks like OpenCV, PyTorch, TensorFlow, PySparkML, Scikit-Learn, coupled with expertise in AWS. I am well-versed in a wide range of machine learning techniques from traditional methods like Random Forest and XGBoost to more complex models such as CNNs, GNNs, ResNET, and GANs, all of which underscore my capability to tackle intricate challenges in data science.

Python: Pandas, Sklearn, Tensorflow, Keras, MatplotLib, Numpy,

SQL : MySQL, MS-SQL SERVER, POSTGRES

Data Visuzalization: Tabeleu, matplotlib, seaborn

Cloud Tech: Azure, AWS and GCP