
Abubakar Abid
ML @ Hugging Face
Updated 7 months ago
16+
Years Experience
18
Roles
22
Skills
3
Education
About
Senior machine learning engineer with 5+ years of experience in machine learning (ML) engineering and the design and implementation of software systems around data collection and ML model deployment. Experienced in all stages of ML engineering, including research and prototyping of new methods, ML implementation in TensorFlow and PyTorch, testing and validation of ML systems, as well as communication of results to stakeholders. Strong background in leading interdisciplinary machine learning teams.
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Experience (18 roles)
Machine Learning Team Lead
Current● Lead a full stack engineering team (back end, front end, deep end aka ML) building Gradio (www.gradio.app), the open-source platform for rapidly building machine learning applications
Executive Director
CurrentFounded the Fatima Fellowship, a free 9-month international program to prepare PhD applicants from around the world for admissions into top computer science / machine learning PhD programs
CEO, Co-Founder
● Founded a venture-backed company that allows machine learning developers to quickly create web applications from their ML models for easy demoing & debugging ● Led interdisciplinary team of 8 ML developers & technical writers to develop open-source tools used by 18,000+ ML engineers including team...
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Education (3)
Stanford University
2016 - 2022
Massachusetts Institute of Technology
2015 - 2016
Grade: 5.0 / 5.0 Carried out research on wireless charging and data transmission for medical devices. Supervised by Giovanni Traverso and Bob Langer, I developed a wireless system for ingestive gastric resident devices and tested it in live animals.
Massachusetts Institute of Technology
2011 - 2015
Grade: 4.9/5.0 Activities and societies: Solar Electric Vehicle Team, International Genetically Engineered Machine, Educational Services Program, Muslim Students Association, Academic Recruiting Group Webmaster and electrical engineer for MIT Solar Electric Vehicle Team, working on a finite element analysis of the car that will race in the 2013 World Solar Challenge in Australia Taught a class on cellular automata for local (and out of state) high school students Independently devising an algorithm for reconstructing corrupted images using cellular automata, and researching the involvement of non-coding mRNA strands in cancer metastasis at the Whitehead Institute
Skills (22)
Publications (6)▼
Optimizing the Delivery of Toxins and Glycans to Photonic Biosensor Surfaces
2012 NNIN REU Research Accomplishments · Nov 1, 2012
Model-Based Estimation of Respiratory Parameters from Capnography, with Application to Diagnosing Obstructive Lung Disease
IEEE Transactions on Biomedical Engineering · Jan 1, 2017
Exploring Patterns Enriched in a Dataset with Contrastive Principal Component Analysis
Nature Communications · Jan 1, 2018
Interpretation of Neural Networks is Fragile
AAAI · Jan 1, 2019
Model-Based Estimation of Pulmonary Compliance and Resistance Parameters from Time-Based Capnography
EMBC '15 · Aug 1, 2015
Detection Using Nanofabricated Silicon Nitride Microrings at Visible Wavelength
10th annual GT^2 symposium at Georgia Tech · Mar 1, 2013
Languages (5)▼
Honors & Awards (4)▼
Eloranta Research Fellow
Issued by MIT · Jun 2014
National Merit Scholarship
Issued by NMSQT · Jan 2011
Tau Beta Pi Service Fellow
Issued by MIT TBP · Jun 2014
Associated with Breatheasy
Siemens Award for Advanced Placement
Issued by Siemens Foundation · Jan 2011
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