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Project description

yiwen song

Build Status Coverage Status PyPI version

Personal Site | Email


Education

University of California, Berkeley - June 2016

Computer Science, B.A.
Major GPA: 3.739


Work Experience

Release Engineering at Yelp (Nov 2017 - Present)

San Francisco, CA

  • Worked on Jenkins continuous deployment and integration of Yelp services.
  • Designed and implemented API for determining responsibility and ownership of code, databases, and other resources.
  • Improved Git management tools and code review infrastructure to be more resilient to catastrophic failures.

Trading and Data at Old Mission Capital (Aug 2016 - May 2017)

Chicago, IL

  • Improved data pipeline and research infrastructure reliability and usability.
  • Added parallelism to data ingestion and created automated sanity checking to reduce overhead of analysis.
  • Developed a Python package for quickly scripting models and risk calculation on live market data.

Trading Intern at Old Mission Capital (Jun 2015 - Aug 2015)

Chicago, IL

  • Studied the effect of US high frequency trading on international markets.
  • Used Python (Scikit-Learn, Matplotlib) to analyze data and visualize stastical models.
  • Wrote research reports to communicate studies to traders whose products were impacted by the studies.

Projects

GPU Compression

  • Parallelized implementation of LZSS compression for the GPU.
  • The goal of the project was to test feasibility of using message compression in HPC applications.
  • Result: your network needs to be really bad for this to be worth anything.
  • Implemented in CUDA and deployed on AWS.

ImgCompress

  • ImgCompress is a hackathon project aimed at becoming the future of compression.
  • Uploads binaries to Imgur as PNGs and stores the 7 character Imgur URL.
  • Compression ratio is over 700 000 and implementation is less than 200 lines of python.
  • Better than the CUDA stuff I made.

Poker AI

  • Heads Up Pot-Limit Omaha (HUPLO) AI that uses Monte Carlo search trees and bad machine learning.
  • Preflop play uses machine learning on hole cards features like connectedness, suitedness and value.
  • Postflop play uses Monte Carlo Search Trees.
  • 💩 at poker.
  • Passable at Tic-Tac-Toe.

Yet Another Personal Site | DefDontHire.Me

  • Technology has advanced to a point where you can create a beautiful website without knowing any web.
  • Literally anyone can download a Bootstrap template and write some BS and call it a personal site.
  • Exhibit A

yiwen.date


Interests, Skills and Intangibles

Hobbies: Board Games, Poker, Basketball, Reading the Manual
Language: Python, Javascript, Psuedocode, fish, Mandarin
Skills: INDEX-MATCH Fiend, Vim Connoiseur, Nash Equilibrium Hobbyist, "sudo rm -rf /" Frequent User
Intangibles: Enjoys friendly competition, clicks buttons really fast

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