Patrick Hayes

p@pnullhay.es
http://patrickhay.es/
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I'm a software engineer at YouTube. I was previously a cofounder at SigOpt, and before that an engineer at foursquare. I graduated from the University of Waterloo, where I had rewarding internships at tech companies both large and small.
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TECHNICAL SKILLS

  • Over twelve years of experience with commercial web development and distributed systems
  • Experience scaling systems to over 50 million users
  • Experience leading teams of software and research engineers
  • Programming: Python, Javascript, C/C++, Java, Scala, Ruby, PHP, Lisp, Haskell, OCaml
  • Technologies: React, CSS, AWS, Postgres, Android, iOS, Mongo, Rails, Django, MySQL
  • Fields: Architecture, Machine Learning, Frontend, Optimization, Distributed Systems, Algorithms

Work Experience

Software Engineer, YouTube, San Bruno, CA, June 2021–present

Cofounder & CTO, SigOpt, San Francisco, CA, November 2014–April 2021

  • Founder, architect, and technical mentor at SigOpt, which was acquired by Intel in Oct 2020
  • Inventor of SigOpt's patented distributed optimization platform for machine learning models
  • Full-stack engineer with experience managing up to 10 frontend, backend, and research staff
  • Y Combinator alumni, Winter 2015

Senior Software Engineer, Foursquare, New York, NY, July 2012–November 2014

  • Developed passive awareness notifications to remind users of the best content nearby
  • Built the tips timeline, for discovering tips from people and tastes you follow
  • Created Foursquare expertise, for recognizing and rewarding city and neighborhood experts

Internships, 2008–2012

  • Bloomberg LP, Financial Software Developer, New York, NY, May–Aug 2011
  • Wish, Research Engineer, San Francisco, CA, Sept–Dec 2011
  • Facebook, Software Engineer, Palo Alto, CA, Jan–Apr 2010
  • Sybase, User Interface Developer, Waterloo, ON, May–Aug 2009
  • BlackBerry, Automation Tools Developer, Waterloo, ON, Jan–Dec 2008

Education

Bachelor of Mathematics, University of Waterloo, Computer Science/Pure Mathematics Double Honours, 2012

  • Graduated with Distinction; Cumulative average: 90%; Major average: 94%
  • Dean's Honours List, University of Waterloo, 2007–2012
  • St. Jerome's University President's Scholarship, University of Waterloo, 2007–2009
  • Excellent Academic Standing, University of Waterloo, 2007–2012

Awards

Young Alumni Achievement Award, University of Waterloo, Faculty of Mathematics, 2017

https://uwaterloo.ca/math/alumni-friends/faculty-mathematics-alumni-awards/gallery-past-recipients/recipients-faculty-mathematics-alumni-achievement-medal

Publications

A Strategy for Ranking Optimization Methods using Multiple Criteria. Presented at ICML 2016, July 2016

https://goo.gl/EvzR6Q

Evaluation System for a Bayesian Optimization Service. Presented at ICML 2016, May 2016

http://arxiv.org/abs/1605.06170

A Stratified Analysis of Bayesian Optimization Methods. SigOpt, March 2016

http://arxiv.org/abs/1603.09441

Talks

Accelerating Model Development by Reducing Operational Barriers, NVIDIA GTC, March 2019

https://www.youtube.com/watch?v=OMYF9fvK5KQ

Insights for Deep Learning Optimization, Open Data Science Conference, November 2018

https://www.youtube.com/watch?v=rj3n2RukuDM

Lessons Learned for Founding a Startup, University of Waterloo, January 2018

https://www.youtube.com/watch?v=KjKV6aiwbOk

Optimizing Everything with Python, Talk Python To Me Podcast, March 2016

https://talkpython.fm/episodes/show/51/sigopt-optimizing-everything-with-python

Patents

Systems and methods implementing an intelligent optimization platform. SigOpt, Inc., February 2019

https://patents.google.com/patent/US10217061B2

Systems and methods for implementing an intelligent application program interface for an intelligent optimization platform. SigOpt, Inc., May 2019

https://patents.google.com/patent/US10282237B1

Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria. SigOpt, Inc., January 2020

https://patents.google.com/patent/US10528891B1/en

Systems and methods for an accelerated tuning of hyperparameters of a model using a machine learning-based tuning service. SigOpt, Inc., January 2020

https://patents.google.com/patent/US20200019888A1/en

Open Source Contributions

Wikipedia/Wiktionary Mobile App, Wikimedia Foundation

  • Developed the Wiktionary mobile application for Android/iOS using PhoneGap
  • Contributed bugfixes and improvements to Wikipedia mobile application
  • Worked on a remote team with 3 undergraduate students from schools across Canada