Chris Waites

AI Researcher

United States8 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Strong background in machine learning and AI research.
  • Experience in developing software for high-impact projects.
  • Proficient in multiple programming languages and technologies.
Stackforce AI infers this person is a skilled software engineer with a focus on AI and machine learning applications.

Contact

cwaites10@gmail.comLinkedIn

Skills

Other Skills

C++Data AnalysisDeep LearningJavaMachine LearningProduct ManagementPythonTeaching

Experience

Headlands technologies llc

Quantitative Researcher

Jan 2022 – Present · 4 yrs 2 mos · Chicago, Illinois, United States · On-site

Stanford artificial intelligence laboratory (sail)

Research Assistant

Sep 2020 – Dec 2021 · 1 yr 3 mos

  • Computer vision research in the Stanford Vision Lab under Fei-Fei Li.

Nuro

Machine Learning Intern

Jun 2020 – Sep 2020 · 3 mos · San Francisco Bay Area

  • Reinforcement learning research for local planning and autonomous vehicle control.

Stanford university

Graduate Course Assistant

Sep 2019 – Dec 2021 · 2 yrs 3 mos · San Francisco Bay Area

  • CS224n: Natural Language Processing with Deep Learning
  • Professor: Chris Manning
  • CS229: Machine Learning
  • Professor: Andrew Ng, Chris Re and Tengyu Ma
  • CS231n: Convolutional Neural Networks for Visual Recognition
  • Professor: Fei-Fei Li
  • CS230: Deep Learning
  • Professor: Andrew Ng
  • CS221: Artificial Intelligence
  • Professor: Percy Liang and Dorsa Sadigh

Two sigma

Software Engineering Intern

May 2019 – Aug 2019 · 3 mos · New York City Metropolitan Area

  • Low-level programming in Rust for trading simulator development.

Airbnb

Software Engineering Intern

Apr 2018 – Aug 2018 · 4 mos · San Francisco Bay Area

  • Front-end development in React for Airbnb's international payments processing infrastructure.

Facebook

Software Engineering Intern

Jan 2018 – Apr 2018 · 3 mos · San Francisco Bay Area

  • Developing Facebook's internal A/B testing and experimentation framework in Hack.

Bloomberg lp

Software Engineering Intern

May 2017 – Aug 2017 · 3 mos · New York City Metropolitan Area

  • Derivatives Team

Georgia institute of technology

2 roles

Teaching Assistant

Jan 2017 – Dec 2017 · 11 mos · Atlanta Metropolitan Area

  • CS 7646: Machine Learning for Trading
  • CS 3600: Artificial Intelligence
  • CS 1331: Introduction to Object-Oriented Programming

Research Assistant

Aug 2016 – Dec 2017 · 1 yr 4 mos · Atlanta Metropolitan Area

  • Adviser: Rachel Cummings (https://pwp.gatech.edu/rachel-cummings/)

Education

Stanford University

MS — Computer Science

Jan 2019 – Jan 2020

Georgia Institute of Technology

BS — Computer Science

Jan 2015 – Jan 2019

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