Experience

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  AWS Bedrock AgentCore

  Oct '25 - Now

  Software Dev. Engineer II @ AgentCore

  Building AWS's managed agentic AI platform, enabling enterprise customers to deploy, invoke, and monitor AI agents with zero infrastructure setup. Architected stateful isolated execution using secure microVMs with full filesystem access, automatic memory sanitization, and zero cross-session data leakage. Platform supports multi-model inference (Bedrock, OpenAI, Gemini), built-in memory persistence, MCP tool connectivity, and automatic CloudWatch observability. Directly pitched and demoed to enterprise customers in private beta.
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  Amazon Music

  Mar '24 - Oct '25

  Software Dev. Engineer II @ Amazon Crews

  Founding engineer on Amazon Crews, building Amazon's first audio social media platform, FanGroups. Led systems design and full-stack development from first lines to GA. Reduced API latency 200x (2000ms → 9ms) through query optimization, delivered collaborative playlist features, and jumped into React Native frontend development with zero prior experience. Led Launch Readiness Reviews for multiple production-scale deployments.
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  AWS S3

  Mar '23 - Mar '24

  Software Dev. Engineer @ S3 Space Reclamation

  Worked on S3 Space Reclamation team, owning the core S3 delete engine that processes 300PB per day. Conducted zero-downtime rollout of updated delete engine (replacing 20-year legacy system), preventing capacity crunch worldwide and saving Amazon billions annually.
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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 biotherapeutic 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, Nobel laureate and 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