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    John Hartquist

    Senior Software Engineer - Machine Learning

    John Hartquist is a full-stack software engineer specializing in fintech and machine learning, with a passion for deep learning, reinforcement learning, and optimization problems. He excels in building data pipelines and web applications using various technologies, delivering high-quality solutions to meet business needs. John is a lifelong learner committed to staying current with industry trends and techniques.

    John's preferred technologies include Rust for performance, Python for ML/DS and rapid prototypes, and TypeScript/React/Svelte for front-end development. He also enjoys working with D3.js, Docker, fastai, Git, Jupyter, pandas, Next.js, NumPy, PyTorch, TensorFlow[.js], Three.js, Spark, SQL, EdgeDB, and Solidity.

    In his side projects, John explores automated programming with OpenAI ChatGPT API & embedding models, develops RL algorithms in Rust + WASM, analyzes Ethereum data using Solidity and MEV, and works on real-time audio analysis and music information retrieval.

    Away from the computer, John engages in activities like running, biking, skiing, paddling, playing guitar, and attending live music events. He holds a Master of Science (MSc) in Computer Science from California Polytechnic State University-San Luis Obispo.

    With a wealth of experience, John has held positions such as Senior Software Engineer at TakeOne, Lowe's Innovation Labs, Sigma IQ, Ruvixx Inc., Emjoyment, and Amazon. He has also worked as a Software Development Engineer at iFixit, a Webmaster at Central Pacific Ski Club, and a Software Engineering Intern at Viasat Inc.

    John Hartquist
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    Location

    Greater Seattle Area