Skip to main content

markdown resume prettifier

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

Deploy Team at Stripe (Apr 2019 - Present)

San Francisco, CA

  • Lead the unattended deployments project for safely automating service deployments.
  • Improved canarying and added automated reliability features by integrating with our health evaluation service.
  • Designed improvments to the deployment web frontend to be more clear and user-friendly.

Release Engineering at Yelp (Nov 2017 - Apr 2019)

San Francisco, CA

  • Worked on an internal frontend service that tracks and displays tech debt and developer prductivity.
  • 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)


Projects

GPU Compression

  • Parallelized implementation of LZSS compression for the GPU with CUDA.
  • 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.

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.
  • 💩 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


SEO

Interests: Change management, system reliability, developer productivity tooling
Languages: Python, React (which is Javascript, I guess), Golang, Psuedocode, fish, Mandarin
Skills: INDEX-MATCH fiend, Vim Connoiseur, Nash Equilibrium Hobbyist, "sudo rm -rf /" Frequent User
Intangibles: Clicks buttons really fast, reads the manual
Literally just SEO terms that vaguely relate to my work: Cloud computing, devops, dev-ops, design, software engineering, software developer, infrastructure, SRE, reliability engineering, docker, containers, kuberenetes, AWS, amazon web services, s3, EC2, google cloud platform, gcp, puppet, terraform, services, continous deployment, continuous integration, CI, CD, CI/CD, Jenkins, build, test execution, test infrastructure, developer tooling, tox, make, bazel, UI, UX, web developer, web development, web dev, SaaS, PaaS, backend, development to production, DNS, load balancer, Travis, Chef, postgres, mysql, mongodb, database management, migrations

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

md-resume-0.2.4.tar.gz (4.8 kB view details)

Uploaded Source

File details

Details for the file md-resume-0.2.4.tar.gz.

File metadata

  • Download URL: md-resume-0.2.4.tar.gz
  • Upload date:
  • Size: 4.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.7

File hashes

Hashes for md-resume-0.2.4.tar.gz
Algorithm Hash digest
SHA256 8cbc37feb9c44c78e99df77d1fca2ba01bf3267c825a18d091c5fc4ba0da6618
MD5 3083497477146591a78994be73122b34
BLAKE2b-256 32af171cfa2915b1d5b6dfe0b7b0d53b80dd4d7d0df95aaa4ad9b0d8812da9a7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page