Daniel Bashir Email & Phone Number
@amazon.com
1 phone found area 909
LinkedIn matched
Who is Daniel Bashir? Overview
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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.
Email format at OpenAI
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AeroLeads found 1 current-domain work email signal for Daniel Bashir. Compare company email patterns before reaching out.
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.
Daniel Bashir's current company
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Daniel Bashir work experience
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Eng + Research @ Openai | The Gradient
Deep Learning Compiler Engineer
Current
Venture Fellow
Current- Co-host and moderate events and panels about AI featuring industry executives and leaders for startup founders, VCs, engineers, and PhD students
Managing/Lead Editor
CurrentSo 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.
Editor & Staff Writer
CurrentOne 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.
Ai Instructor
Research Lead
- 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.
Managing Director
Cs Teaching Assistant
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 /.
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.
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.
Researcher
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.
Cs Teaching Assistant
Tutored/graded for CS35- CS for Insight (data science) in Spring 2018 and CS5 Black- advanced Intro to CS in Fall 2017.
Software Engineer
- Developed backend social platform features for BigNerve using Golang- Integrated and tested new website features with BigNerve’s existing codebase
Research Assistant
Collected and analyzed data on patients who had undergone Transcatheter Aortic Valve Replacement for a paper on patient outcomes with new cardiology techniques.
Research Intern
- Collaborated with a biomedical engineering professor and an ASU undergraduate.- Assisted in research and creating a Matlab application for a project in conjunction with the Mayo Clinic.
Colleagues at OpenAI
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Onkar Shinde
Colleague at Openai
Solapur, Maharashtra, India, India
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UF
Uğur Ferik
Colleague at Openai
Istanbul, Istanbul, Türkiye, Turkey
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NC
Natalie Cone (She/Her)
Colleague at Openai
Austin, Texas, United States, United States
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SI
Saranda Ibrahimi
Colleague at Openai
Kosovo, United States
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HK
Harsh Koshta
Colleague at Openai
India, India
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EC
Eszter Császár, Phd
Colleague at Openai
Budapest, Budapest, Hungary, Hungary
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KT
Kayla Thomas
Colleague at Openai
Los Angeles, California, United States, United States
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GL
Guillaume Leclerc
Colleague at Openai
Somerville, Massachusetts, United States, United States
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BS
Bogdan-Dumitru Stanca
Colleague at Openai
Buenos Aires Province, Argentina, Argentina
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RG
Rikki Gorman
Colleague at Openai
London, England, United Kingdom, United Kingdom
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Daniel Bashir education
Bachelor’S Degree, Mathematics And Computer Science
Summer Study Abroad, Electrical Engineering, Chinese Language And History
High School, Liberal Arts And Sciences/Liberal Studies
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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