Daniel Bashir

Daniel Bashir

San Francisco Bay Area
2K followers 500+ connections

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About

TL;DR: I’m an ML (Compiler) Engineer—I have software and ML engineering experience…

Activity

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Experience

  • Amazon Web Services (AWS) Graphic

    Amazon Web Services (AWS)

    Cupertino, California, United States

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    Palo Alto, California, United States

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    Palo Alto, California, United States

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    Claremont, CA

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    Claremont, California

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    Claremont, California

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    Seattle, Washington

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    Claremont, California

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    Claremont, California

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    Claremont, California

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    Claremont, California

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    Claremont

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    Phoenix, Arizona Area

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    Tempe, Arizona Area

Education

  • Harvey Mudd College Graphic

    Harvey Mudd College

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    Activities and Societies: Student Government (Class Co-President, Diversity Director), 5C Hackathon, Claremont Colleges Club Tennis Team

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    Activities and Societies: -Speech and Debate Team -Varsity Tennis Team (Acting Captain) -Orchestra -Math Team (President) -Diversity Club (President) -Mandarin Club (President) -Ham Radio Club

    I spent my time in high school pursuing a wide variety of interests. Besides taking a great deal of advanced science and mathematics courses, I pursued my interests by competing in various speech and debate events, playing the violin in school and in the Phoenix Youth Symphony, playing tennis, and starting a variety of clubs.

Licenses & Certifications

Volunteer Experience

  • Healthcare Volunteer

    Scottsdale Healthcare is now HonorHealth

    - 3 months

    Health

    Made calls to discharged patients to measure satisfaction with service, did front desk service with checking in and discharging patients.

  • Harvey Mudd College Graphic

    Alumni Association Board of Governors

    Harvey Mudd College

    - Present 2 years 2 months

    - Outreach Committee Chair (2023-24)
    - Outreach Committee Vice-Chair (2022-23)

Publications

  • Trading Bias for Expressivity in Artificial Learning

    Springer Lecture Notes in Artificial Intelligence

    Other authors

  • An Information-Theoretic Perspective on Overfitting and Underfitting

    Australasian Joint Conference on Artificial Intelligence

    Other authors
    See publication

  • The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity

    International Conference on Agents and Artificial Intelligence (ICAART 2020)

    Algorithm performance in supervised learning is a combination of memorization, generalization, and luck. By estimating how much information an algorithm can memorize from a dataset, we can set a lower bound on the amount of performance due to other factors such as generalization and luck. With this goal in mind, we introduce the Labeling Distribution Matrix (LDM) as a tool for estimating the capacity of learning algorithms. The method attempts to characterize the diversity of possible outputs…

    Algorithm performance in supervised learning is a combination of memorization, generalization, and luck. By estimating how much information an algorithm can memorize from a dataset, we can set a lower bound on the amount of performance due to other factors such as generalization and luck. With this goal in mind, we introduce the Labeling Distribution Matrix (LDM) as a tool for estimating the capacity of learning algorithms. The method attempts to characterize the diversity of possible outputs by an algorithm for different training datasets, using this to measure algorithm flexibility and responsiveness to data. We test the method on several supervised learning algorithms, and find that while the results are not conclusive, the LDM does allow us to gain potentially valuable insight into the prediction behavior of algorithms. We also introduce the Label Autoencoder as an additional tool for estimating algorithm capacity, with more promising initial results.

    Other authors
    • Pedro Sandoval Segura
    • Julius Luaw
    • Kinjal Shah
    • Dominique Macias
    • Sonia Sehra
    • George Montanez
    See publication

Courses

  • Abstract Algebra I

    Math 171

  • Advanced Chinese

    Chin 111A

  • Advanced Chinese (4th year)

    Chinese 400

  • Advanced Linear Algebra

    Math 173

  • Advanced Topics in Algorithms

    CS181T

  • Algorithms

    CS140

  • Calculus

    Math 30B

  • Chemistry in the Modern World I

    Chem 23A

  • Computability and Complexity

    CS181W

  • Computability and Logic

    CS81

  • Computer Systems

    CS105

  • Data Structures and Program Development

    CS70

  • Digital Electronics and Computer Engineering

    E85

  • Discrete Mathematics

    Math 55

  • Early Modern Philosophy

    Phil 100C

  • Electrical Engineering

    E84

  • Electricity and Magnetism

    Physics 51

  • Engineering Systems

    E79

  • Financial Economics

    Econ 104

  • Financial Markets and Modeling

    Econ 154

  • Foreign Relations of the US

    Gov 149

  • Intermediate Linear Algebra

    Math 70

  • Intermediate Probability

    Math 157

  • Introduction to Academic Writing

    Writ 1

  • Introduction to Computer Science

    CS5

  • Introduction to Java Programming

    A

  • Kant and the Crisis of Reason

    Phil 198

  • Machine Learning, Info, and Search

    CS181P

  • Modern Chinese History

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  • Physics Laboratory

    Phys 22

  • Principles of Computer Science

    CS60

  • Principles of Economic Analysis

    Econ 50

  • Principles of Real Analysis I

    Math 131

  • Probability and Statistics

    Math 35

  • Programming Languages

    CS131

  • Putnam Seminar

    Math 93

  • Special Relativity

    Phys 23

  • Time Series

    Math 155

Projects

  • Multicycle processor

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    Implemented the data and control paths for a multicycle processor in System Verilog. Course project for E85: Digital Electronics & Computer Engineering.

  • Real-Time LaTeX Messenger

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    In a team of 4, created an online messaging app with LaTeX support and real-time rendering of text.
    This project won first place in the Intermediate Division at the 5C Fall Hackathon.

    Other creators

  • Picobot Incarnate

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    In a team of 5, created a physical Picobot using OpenCV, the Python Socket library, and the Raspberry Pi framework.
    This project was a finalist in the 2016 MuddHacks hardware hackathon.

    Other creators

  • Magic Keyboard

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    In a team of 2, used Processing to create a virtual display where letters would pop up when keys were pressed, move randomly, and bounce into each other and off the screen based off of techniques in Daniel Shiffman’s “The Nature of Code.”

    Other creators
    • Addison Wesel

Honors & Awards

  • Honorable Mention, CRA Outstanding Undergraduate Researcher Award

    Computing Research Association (CRA)

    https://cra.org/about/awards/outstanding-undergraduate-researcher-award/#2020

  • National Merit Scholarship Finalist

    National Merit Scholarship Foundation

  • Math Department Award

    Phoenix Country Day School

  • Policy Debate State Champion

    National Speech and Debate Association

    Won the Arizona State Championship in Policy Debate.

Languages

  • English

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  • Chinese

    Limited working proficiency

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