I am a software engineer whose interest lies at the confluence of machine learning and software engineering. My background includes a position as a data scientist at LLNL, multiple internships, research experience, relevant coursework, and organizational leadership experience as the President of Santa Cruz Artificial Intelligence.
Skills
My technical repertoire includes:
Programming Languages: Python, C++, C, TypeScript, Swift
Frameworks and Libraries: TensorFlow, PyTorch, Keras, JAX, CUDA, Scikit-Learn
Tools and Platforms: Git, Docker, Linux
Relevant Coursework
Graduate Level: Computer Vision, Artificial Intelligence, Analysis of Algorithms, Computer Architecture, Compiler Design, Introduction of Probability Theory, Applied Bayesian Statistics
Undergraduate Level: Applied Machine Learning, Introduction to Data Mining, Parallel Programming, Computer Architecture, Introduction to Probability Theory, Vector Calculus, Linear Algebra, Advanced Linear Algebra, Principles of Computer System Design, Introduction to Networking and the Internet, Introduction to Analysis of Algorithms