Experience

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  Turion Space (YC S21)

  • Irvine, California, United States

  • ML/AI Engineer

    • Aug 2022 - Present
    • Irvine, California, United States

    TSC provides on orbit services for satellite flyby inspections, orbit relocation, and situational awareness. Our research includes evolutionary algorithms, RL for combinatorial optimization, Bayesian optimization, Conv. Cond. Neural Processes, ML for in orbital dynamics, and deep learning for computer vision.

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  UCSD Scripps Institute of Oceanography

  • Graduate Student Researcher

    • Oct 2019 - Aug 2022

    My research is focused on applying ML algorithms to dynamical systems and physical phenomena.Recent work in ML prediction of nonlinear dynamical systems and exploring improvements to Hamiltonian Monte Carlo algorithms.

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  Bedrock Global AI

  • Greater San Diego Area

  • Data Science and Machine Learning Engineer

    • Aug 2018 - Jul 2019
    • Greater San Diego Area

    My small team for freelance consulting. We will develop DS/ML tools for any use you like.

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  NASA Glenn Research Center

  • Cleveland/Akron, Ohio Area

  • Data Science and Machine Learning Internship

    • Jan 2019 - Apr 2019
    • Cleveland/Akron, Ohio Area

    Constructed a PyTorch Deep Learning model predicting sound levels at locations around a jet nozzle for various nozzle/surface configurations. Deliverables: Python based command line tool containing a trained neural network for distribution, and a paper documenting experiments and results. Additionally, implemented recent work for neural network uncertainty quantification.

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  NASA Glenn Research Center

  • Data Science and Machine Learning Internship

    • Jun 2018 - Aug 2018

    Researched, designed, and constructed a pipeline for the PeTaL Biomimicry Project consisting of a web scraper to accumulate a dataset, text mining and topic modeling clustering tools (Non-Negative Matrix Factorization, Latent Dirichlet Allocation), and a Meta-Classifier to add new documents to the corpus. Deliverables: Python based command line tool, a module integrated into the larger PeTaL tool, and a paper. Paper published https://www.mdpi.com/2411-9660/3/3/43.

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  85Sixty Marketing

  • Greater San Diego Area

  • Data Science and Machine Learning Internship

    • Jun 2017 - Aug 2017
    • Greater San Diego Area

    Researched and built a Multi-Armed Bandit Reinforcement Learner for marketing using Facebook data. Accompanying simulator was constructed for model testing and validation. Leveraged Microsoft Azure and SQL for data pipeline.

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  San Diego Regional Data Library

  • Greater San Diego Area

  • Data Science and Machine Learning Internship

    • Jun 2014 - Aug 2014
    • Greater San Diego Area

    Unpaid volunteer internship. Performed data analysis on San Diego Police Department hit and run data. Recognized as contributing data analyst for an article appearing in the periodical Voice of San Diego.