Sanid Singhal is a third-year University of British Columbia student and software engineer with eight years of programming experience across Python, Java, C/C++ and C#. He combines a strong foundation in data structures and object-oriented design with deep coursework and hands-on projects in machine learning, deep learning, computer vision and NLP using libraries like TensorFlow, PyTorch, scikit-learn and NumPy. Actively expanding into full-stack MERN development, he pairs backend and algorithmic strengths with growing frontend and web-app skills. Sanid has completed rigorous MOOCs from MIT and Stanford and applies both academic and practical learning—often prototyping models in Python and MATLAB. Always learning by practice, he maintains an online portfolio and seeks internships where he can contribute to real-world ML or full-stack projects while continuing to grow.
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