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Daniel Bashir Email & Phone Number

Machine Learning Engineer at OpenAI
Location: San Francisco Bay Area, United States, United States 21 work roles 3 schools
1 work email found @amazon.com 1 phone found area 909 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Work email d****@amazon.com
Direct phone (909) ***-****
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Current company
Role
Machine Learning Engineer
Location
San Francisco Bay Area, United States, United States
Company size

Who is Daniel Bashir? Overview

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Quick answer

Daniel Bashir is listed as Machine Learning Engineer at OpenAI, a company with 6880 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 909, and a matched LinkedIn profile for Daniel Bashir.

Daniel Bashir previously worked as eng + research @ openai | the gradient at Openai and Deep Learning Compiler Engineer at Amazon Web Services (Aws). Daniel Bashir holds Bachelor’S Degree, Mathematics And Computer Science from Harvey Mudd College.

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{first_initial}{last}@amazon.com
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Profile bio

About Daniel Bashir

TL;DR: I’m an ML (Compiler) Engineer—I have software and ML engineering experience working at AWS Annapurna Labs, SambaNova Systems, and on the AWS SageMaker AutoML team; applied science experience from Amazon’s Personalization team; and research experience in applied and theoretical ML. In my spare time, I ask really smart people interesting questions about AI, philosophy, and history; and I write. Longer:Hi! I graduated from Harvey Mudd College in 2020 with a Computer Science / Mathematics joint major. I have experience in software development (current: AWS; former: SambaNova Systems, Amazon/AWS) and research (theoretical ML and Music Information Retrieval) with a particular interest in Machine Learning. I have experience in various programming languages and frameworks, am interested in the intersection of tech and policy, and have had a long-standing passion for learning Chinese. I podcast and write about AI, AI policy, the tech industry, and the intersection of technology and social/political/philosophical questions. In 2018 I conducted research in Music Information Retrieval at the intersection of Deep Learning, Signal Processing, and Music, and since January 2019 I have been doing research in theoretical Machine Learning that utilizes a framework drawing together aspects of information theory, statistics, and algorithmic search to understand and prove results about learning processes. I hope to do work where I'll be able to apply my love for math and algorithms, and where I'll be making a tangible, positive impact on the world around me and whoever uses what I'm building. Simultaneously, I hope to be a strong leader and inspire others around me to help affect positive change and bring out the best in themselves and others.

Listed skills include Teamwork, Python, Java, Research, and 19 others.

Current workplace

Daniel Bashir's current company

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OpenAI
Openai
Machine Learning Engineer
California, United States
Website
Employees
6880
AeroLeads page
21 roles

Daniel Bashir work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer

California, United States

Eng + Research @ Openai | The Gradient

San Francisco Bay Area

Venture Fellow

Current

Palo Alto, CA, US

- Co-host and moderate events and panels about AI featuring industry executives and leaders for startup founders, VCs, engineers, and PhD students

Apr 2022 - Present

Managing/Lead Editor

Current

Stanford, CA, US

So far:- The Gradient has been featured by Substack Discover and as a top Substack publication in multiple years.- Grew the Gradient’s Substack subscriber base from 15,000-40,000 over ~15 months despite general ineptitude at and reluctant use of social media 🤡- Interviewed some of AI's most noted researchers including Terry Winograd, Yoshua Bengio, and.

Jul 2021 - Present

Editor & Staff Writer

Current
Skynet Today

One of 3 co-runners of the site (in other words, “keeping the lights on”):- I edit submitted articles for the Skynet Today website. - I contribute editorials and co-run weekly news digests for Skynet Today, where we cover AI news and policy, among other topics.Previously:- I write, record, and edit a short-form news podcast for Skynet Today and write.

Apr 2019 - Present

Machine Learning Engineer

Palo Alto, CA, US

RDU go brrrr

Sep 2021 - Nov 2022

Ai Instructor

Palo Alto, California, US

Jun 2021 - Jul 2021

Applied Scientist Intern

Seattle, WA, US

Percolate Optimization

Aug 2020 - Jul 2021

Research Lead

Claremont, California, US

- Lead/manager for a research team of 6: planning group meetings, organizing content and research via GitHub, and supporting members in research efforts- Developed an information-theoretic definition of algorithmic capacity and framework of overfitting/underfitting- Developed a novel algorithmic method to measure the expressivity of a machine learning.

Jan 2019 - Jun 2020

Cs Teaching Assistant

Claremont, CA, US

Grading/tutoring for Machine Learning, Info & Search (Fall 2019).- Held weekly tutoring sessions and exam review sessions, wrote problems for information theory problem setsGraded/tutored for CS 140 (Algorithms) and CS 158 (Machine Learning) at HMC (Spring 2019):- Held weekly tutoring sessions for both classes, both assisting students with problem sets /.

Jan 2019 - Dec 2019

Diversity Director

Working with ASHMC and diversity organizations on campus to plan, promote, and facilitate diversity-related activities and initiatives on campus.- Facilitated and promoted initiatives to set up a room for affinity groups on campus and a textbook library for students to avoid having to pay high costs to access course materials- Participated in hiring.

Apr 2018 - Apr 2019

Co-President, Class Of 2020

My responsibilities include planning and organizing events for the class to cement connections between students and among students and faculty.

Sep 2016 - Apr 2018

Researcher

Hmc Music Information Retrieval Lab

Utilizing deep learning and signal processing techniques for music informatics:- Employing current techniques and cutting-edge research in object detection and computer vision to develop a program for identifying sheet music from a cell phone picture- Completed a 7-week intro to Deep Learning course (including working through fast.ai) where I learned about.

Jan 2018 - Dec 2018

Cs Teaching Assistant

Claremont, CA, US

Tutored/graded for CS35- CS for Insight (data science) in Spring 2018 and CS5 Black- advanced Intro to CS in Fall 2017.

Sep 2017 - May 2018

Software Engineer

Bignerve

- Developed backend social platform features for BigNerve using Golang- Integrated and tested new website features with BigNerve’s existing codebase

Aug 2017 - Feb 2018

Research Assistant

Banner University Medical Center

Collected and analyzed data on patients who had undergone Transcatheter Aortic Valve Replacement for a paper on patient outcomes with new cardiology techniques.

May 2016 - Aug 2016
Team & coworkers

Colleagues at OpenAI

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3 education records

Daniel Bashir education

Bachelor’S Degree, Mathematics And Computer Science

Harvey Mudd College

Summer Study Abroad, Electrical Engineering, Chinese Language And History

Peking University

High School, Liberal Arts And Sciences/Liberal Studies

Phoenix Country Day School
FAQ

Frequently asked questions about Daniel Bashir

Quick answers generated from the profile data available on this page.

What company does Daniel Bashir work for?

Daniel Bashir works for OpenAI.

What is Daniel Bashir's role at OpenAI?

Daniel Bashir is listed as Machine Learning Engineer at OpenAI.

What is Daniel Bashir's email address?

AeroLeads has found 1 work email signal at @amazon.com for Daniel Bashir at OpenAI.

What is Daniel Bashir's phone number?

AeroLeads has found 1 phone signal(s) with area code 909 for Daniel Bashir at OpenAI.

Where is Daniel Bashir based?

Daniel Bashir is based in San Francisco Bay Area, United States, United States while working with OpenAI.

What companies has Daniel Bashir worked for?

Daniel Bashir has worked for Openai, Amazon Web Services (Aws), Clear Ventures, The Gradient, and Skynet Today.

Who are Daniel Bashir's colleagues at OpenAI?

Daniel Bashir's colleagues at OpenAI include Onkar Shinde, Uğur Ferik, Natalie Cone (She/Her), Saranda Ibrahimi, and Harsh Koshta.

How can I contact Daniel Bashir?

You can use AeroLeads to view verified contact signals for Daniel Bashir at OpenAI, including work email, phone, and LinkedIn data when available.

What schools did Daniel Bashir attend?

Daniel Bashir holds Bachelor’S Degree, Mathematics And Computer Science from Harvey Mudd College.

What skills is Daniel Bashir known for?

Daniel Bashir is listed with skills including Teamwork, Python, Java, Research, Public Speaking, Project Management, Administration, and Leadership.

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