Experience

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  Amazon

  Mar '23 - Now

  Software Dev. Engineer @ AWS S3

  My team, S3 Space Reclamation, owns the core S3 delete engine. Naturally, deletes have lowest access priority to storage nodes, so we prioritize and process a backlog of deletes in order to prevent capacity crunch worldwide, remove uncharged usage, and ultimately save Amazon billions of dollars every year.
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  Columbia University

  Aug '21 - Dec '22

  Master's in CS/ML Specialization - GPA: 3.9

  Relevant Coursework: Cloud Computing, Neural Networks & Deep Learning, Fundamentals of Large-Scale Distributed Systems, ML & Climate, Operating Systems, Databases, Engineering SAAS, Advanced Programming, NLP, Discrete Mathematics
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  Codexis, Inc.

  Aug '19 - Jun '21

  Bioinformatics Researcher

  At Codexis, a global leader in enzyme engineering, I conceived, designed, and built several Machine learning tools for directed evolution of biothereapuetic protein projects:

  • An LSTM based Post-translational Modification prediction tool for gene therapy (industry-leading 0.968 MCC) (Details)
  • An Antimicrobial Peptide identification tool (> 0.95 F1 score) (Details)
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  Institute for Protein Design

  Jan '18 - Jun '18

  Computational Design Research Associate

  Worked with Dr. David Baker, a global pioneer of de novo enzyme engineering, at his Institute of Protein Design at the University of Washington. Worked with postdocs to increase enzyme efficacy > 400% with invention of metric to computationally optimize catalytic Lysine orientation using Rosetta (protein folding software)
  (Research Paper)
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  UCLA

  Sept '15 - Jun '19

  B.S. in Bioengineering/CS - GPA 3.85

  Relevant Coursework: Programming in C, Electrical Engineering, EE Lab, Networks, Machine Learning, Theory of Computation, Computer Architecture, Linear Algebra and Applications, Probability and Statistics, Differential Equations, Multivariate Calculus