Education


University of California, Berkeley

  • BS in Electrical Engineering and Computer Science
  • Regents and Chancellor's Scholarship recipient

Relevant Coursework

  • Operating Systems
  • Introduction to Machine Learning
  • Introduction to Artificial Intelligence
  • Probability and Random Processes
  • Computer Security
  • Introduction to Databases
  • Algorithms for Computational Biology
  • Efficient Algorithms and Intractable Problems
  • Linear Algebra and Differential Equations
  • Discrete Math and Probability

Experience


  • Software Engineer, Uber Freight , San Francisco, CA07/2019 – Current
  • Software Engineering Intern, Google Assistant , Mountain View, CA 05/2018 – 08/2018
    • Designed and implemented an API to convert a custom designed markup language into internal representation for the S3 Server
    • Designed a dialog flow and grammar to disassociate lights used with the feature through RPC calls
    • Worked to design a pipeline for real time speech translation
  • Academic Intern, Introduction to Machine Learning, CS189 08/2017 – 05/2018
  • Software Engineering Intern, SOC Timing Team - Intel08/2017 – 05/2018
    • Optimized classification models using Scikit-learn and Tensorflow to predict delays given static timing analysis reports
    • Automated multiple design tasks to decrease design iteration turnaround time by 90% to identify and increase accuracy of flagging errors in design reports
  • Course Reader, Desining Information Systems and Devices EE16B08/2017 – 05/2018
  • Computer Science Mentor, Data Structures
  • Software Engineering Intern, Intel08/2017 – 05/2018
    • Built a full stack website using the Django framework to handle and display queries to the register file IP database
  • Software Engineering Intern - Peel08/2017 – 05/2018
    • Worked to integrate the Zendesk API with Peel’s WatchOn Android app to manage customer request forms efficiently.

    Skills


    AJAX, Android Studio, C, C++, Java, Javascript, Pytorch, SQL, Tensorflow