Ian Q.
Research Engineer@ OpenMined
Pittsburgh, Pennsylvania, United States
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Ian Q. is an experienced Research Engineer with 8.3 years of work experience. He possesses a wide range of skills including Python, artificial intelligence, MATLAB, signal processing in machine learning, and data analysis. Based in Pittsburgh, Pennsylvania, Ian Q. is currently working at OpenMined as a Machine Learning consultant and ML advisor. His research interests lie in Deep Reinforcement Learning, Homomorphic Encryption Machine Learning, and Federated Learning. Ian Q. advises junior ML Engineers and Data Scientists in his free time. He is also an aspiring chef and can be reached via email at ianq.ai.
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Research Details
Skills & Insights
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Emails and Phone Numbers

@openmined.org
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About

Hey there! Thanks for checking out my profile! Feel free to add me, but if we don't know one another, please send me a message about who you are, why you'd like to connect, and how I might help you.Contact me for an updated version of my resume or follow what I'm up to at ianq.ai. I am a Research Engineer at OpenMined, a Machine Learning consultant, and a ML advisor in my personal time.My research interests are Deep Reinforcement Learning (applied to trading), Homomorphic Encryption + Machine Learning, and Federated Learning. I advise junior ML Engineers and Data Scientists in my free time. Whatever free time I have left, I spend bouldering.Feel free to book something with me: https://calendly.com/ianq_ai but do let me know beforehand what you'd like from meOh, I'm also an aspiring chef, but that's probably not why you're here. On the off chance that you are, ping me to speak with an ML advisor-consultant-chef: https://www.instagram.com/i_swear_i_can_cook/ .

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Work Experience

340 S. Lemon Avenue, #3717, Walnut, California, 91789, US

Research Services

62
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Ian Q.'s Professional Milestones

  • Research Assistant (2016-05-01~2017-05-01): Conducted groundbreaking research, contributing to advancements in the field.
  • Research Engineer (2020-03-01~): Developed and implemented cutting-edge technology solutions, driving innovation and breakthrough innovations.
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Education

Carnegie Mellon University
Carnegie Mellon University

Cognitive Science,

Bachelors,

Bachelor Of Science,

Machine Learning & Artificial Intelligence

2013-2017