resume

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experience

Stripe: Machine Learning Engineer, Advanced Attacks team, Mar 2024 - Present
  • Building and deploying machine learning models to detect card testing fraud, helping protect merchants from fraudulent transactions.
  • Developing pattern recognition systems to identify suspicious transaction patterns that indicate fraud or card testing attempts.
Nextdoor: Machine Learning Engineer, Vitality ML team, May 2023 - Nov 2023
  • Led the development and deployment of an ML model to evaluate posts and comments for potential community guideline violations. This model served as a critical metric for monitoring violative content on the platform.
  • Proactively addressed data quality challenges; proposed and executed plan to use GPT to enrich the training dataset, significantly improving model performance (+0.12 PR-AUC).
Twitter: Machine Learning Engineer II, Trust & Safety team, Aug 2021 - Feb 2023
  • Led team of 3 developers to improve Abuse Detection model by incorporating media features, resulting in a 10% increase in model precision and my promotion to mid-level engineer.
  • Conducted A/B online experiments, resulting in a 15% increase in remediation volume and addition of 2 tweet languages to our scope.
  • Migrated tweet report ranking model to Google Cloud's Dataflow, leading to a 63% increase in report action rate and a decrease in model training time by approximately 90%.
  • Independently created an internal web tool to run our abuse detection model with sample inputs.
  • Simplified training data generation with BigQuery and refactored TensorFlow model training code to reduce engineering time required for training new models.
University of Michigan Radiology: Research Assistant, Deep Learning for MRI Reconstruction, June 2020 - Dec 2020
  • Created novel deep learning architecture in PyTorch to reconstruct undersampled brain MRI acquisitions, achieving baseline performance with 50% fewer parameters.
  • Adapting the U-net for Multi-coil MRI Reconstruction published as an extended abstract at ISMRM 2021.
  • Presented at Neuromatch 3.0, a neuroscience conference.
University of Michigan CS: Teaching Assistant, Jan 2018 - Apr 2021
  • Led development of instructional materials for 1000+ students per semester.
  • Hosted exam review sessions, taught discussion sections, delivered lectures, and assisted students in office hours.

skills

internships

Twitter: SWE Intern, JVM team, Summer 2019
Amazon: SWE Intern, Growth Engagement team at Amazon Music, Summer 2018
  • Designed and implemented AWS architecture so marketing campaigns could send push notifications into the web application. Used new browser technologies (Service Workers, Push API).

education