Sign In
Get Clay Free →

Suggestions

    John Hartquist

    Senior Software Engineer - Machine Learning

    John Hartquist is a full-stack software engineer specializing in fintech and machine learning. With a background in building data pipelines and web applications, John has a proven track record of delivering high-quality solutions tailored to meet business needs. As a lifelong learner, he is dedicated to continuous improvement and staying abreast of the latest industry trends and techniques.

    John is particularly passionate about deep learning, reinforcement learning, generative models, spatial computing, rapid prototyping, and optimization problems. He leverages a variety of technologies in his work, including Rust for performance, Python for machine learning/data science and rapid prototypes, and TypeScript/React/Svelte for front-end development.

    His skill set extends to a wide range of tools and frameworks, including D3.js, Docker, fastai, Git, Jupyter, pandas, Next.js, NumPy, PyTorch, TensorFlow[.js], Three.js, Spark, SQL, EdgeDB, and Solidity. John is currently engaged in several side projects, such as automated programming with OpenAI ChatGPT API & embedding models, implementing reinforcement learning algorithms in Rust + WASM, Ethereum data analysis/solidity/MEV, and real-time audio analysis/music information retrieval.

    Apart from his professional endeavors, John enjoys outdoor activities like running, biking, skiing, and paddling. He also has a passion for music and is skilled at playing the guitar. Furthermore, he has an interest in attending live music events.

    John completed his Master of Science (MSc) in Computer Science at California Polytechnic State University-San Luis Obispo. He has held various positions in reputed organizations, including Senior Software Engineer roles at TakeOne, Lowe's Innovation Labs, Sigma IQ, and Ruvixx Inc. Additionally, he has worked at Emjoyment, Amazon, iFixit, and Viasat Inc. in software engineering capacities.

    John Hartquist
    Add to my network

    Location

    Greater Seattle Area