Abubakar Abid

CEO

Palo Alto, California, United States14 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led interdisciplinary teams in machine learning projects.
  • Founded a successful venture-backed company in AI.
  • Published 21 peer-reviewed papers in top conferences.
Stackforce AI infers this person is a SaaS and Healthcare-focused machine learning expert with a strong academic background.

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Skills

Other Skills

Web DesignJavaPhysicsSolidworksHindiMatlabUrduMachiningMolecular BiologyMathematical AnalysisScienceAlgorithmsData AnalysisResearchBiomedical Engineering

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.

Experience

Hugging face

2 roles

Head of Applications

Promoted

Sep 2025Present · 6 mos

  • Helping developers build AI applications on top of open-source models, datasets, and 🤗 Hub, just like we've done with Gradio & Trackio.

Machine Learning Team Lead

Nov 2021Present · 4 yrs 4 mos

  • ● 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

Fatima fellowship

Executive Director

Feb 2021Present · 5 yrs 1 mo · California, United States

  • Founded 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

Gradio

CEO, Co-Founder

Dec 2018Nov 2021 · 2 yrs 11 mos · Mountain View, California

  • ● 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 teams at Cisco, Google, & Amazon
  • ● Roadmapped, prototyped, & implemented key features for the Gradio software that has been used to create 400,000+ ML apps

Verily life sciences

Machine Learning Research Intern

Jun 2018Sep 2018 · 3 mos · San Francisco Bay Area

  • ● Built ML models to predict immune cell type based on integrated genomics and proteomics data,
  • as part of a quality control pipeline that achieved 85% accuracy at predicting 25 cell subtypes
  • ● Built a feature selection pipeline using self-normalizing deep networks to reduce the number of
  • genes that needed to be sequenced by 95% while keeping most of the genomic signal

Two sigma

Machine Learning Research Intern

Mar 2018Jun 2018 · 3 mos · Palo Alto, California, United States

  • ● One of the early testers and users of Two Sigma’s ML development platform, AlphaStudio
  • ● Developed novel methods to impute missing values in financial time-series datasets and implemented them on large-scale asset pricing data, reducing pricing prediction errors

Stanford university

PHD Candidate

Sep 2016Sep 2021 · 5 yrs · Palo Alto, CA

  • ● Research area: building reliable deep learning models, with applications to biology and medicine
  • ● Published 21 peer-reviewed papers in top conferences (ICML, NeurIPS) & journals (Nature): https://scholar.google.com/citations?user=8slGl3oAAAAJ&hl=en&oi=ao
  • ● GRE Verbal: 170 / 170, Quantitative: 170 / 170,
  • ● Awards: PD Soros Fellowship (awarded to 30 graduate students across United States), Stanford Graduate Fellowship (awarded to top 10% of PhD students at Stanford)

Supply, inc.

Systems Engineer

Jun 2015Sep 2015 · 3 mos

  • ● Simulation and design of 16-element high-power phased array system for wireless charging
  • ● Construction of control circuitry for phased array system

Breatheasy

Biomedical Engineer

Mar 2014Jun 2015 · 1 yr 3 mos · Cambridge, MA

  • Working with fellow students at MIT and clinicians at Boston Medical Center, I developed a functioning prototype for breathing sensor for patients with tracheostomies. My specific role was to analyze pulmonary signals and design algorithms to detect patients suffering from partial or complete blockage. Also supervised operations and logistics for the team.

Verghese clinical inference group

Research Assistant

Jun 2013Jul 2015 · 2 yrs 1 mo · Cambridge, MA

  • Building mechanistic models to better understand lung pathophysiology

Aoasoft - masjidtime

Director of Operations

Jun 2013Jul 2015 · 2 yrs 1 mo · Cambridge, MA

  • With partners from Harvard and UCLA, started a company to develop an extensive financial web platform for non-profit management. Developed both the web and android application for mosque management and announcements. Also supervised the logistics and finances of the company.

Voldman biomems lab

Research Scientist

May 2013Jul 2015 · 2 yrs 2 mos · Cambridge, Massachusetts, USA

  • Building a reconfigurable probe for better long-term brain-machine interfaces.

Solar boat research project

Team Manager

Aug 2012May 2013 · 9 mos · Cambridge, Massachusetts, USA

  • Constructed data loggers and designed a solar array system to be installed in summer of 2013 in the Ecuadorean rainforest; guided the development of an entire solar-powered boat network.

Georgia institute of technology

NNIN Intern

Jun 2012Aug 2012 · 2 mos · Greater Atlanta Area

  • Fabricating photonics-based biosensors with efficient delivery of reagents and analytes to resonator surfaces. (Building efficient sensors to detect toxins in water!)

T2 biosystems

Research Extern

Jan 2012Feb 2012 · 1 mo · Lexington, MA

  • As part of a project team, worked full-time to develop mathematical tools to harvest data from a next-generation hemostasis product; designed algorithms for complex data analysis.

Whitehead institute

Research Intern

Sep 2011Feb 2012 · 5 mos · Weinberg Lab

  • Currently exploring the role of non-coding mRNA sequences in cancer metastasis

National academic quiz tournaments

Science Writer

Aug 2011Dec 2012 · 1 yr 4 mos · Greater Boston Area

Altair prep

Software Engineer

Jul 2011Jul 2012 · 1 yr · Greater Atlanta Area

  • Helped start an E-learning company that revolutionized test prep by offering automated, yet personalized tutoring to individual students.

Winship cancer institute

Research Intern

Jun 2010Jul 2011 · 1 yr 1 mo · Atlanta, GA

  • Investigated the role of the CXCR4 receptor in the epithelial-mesenchymal transition

Education

Stanford University

Doctor of Philosophy - PhD — Machine Learning

Jan 2016Jan 2022

Massachusetts Institute of Technology

Master of Engineering - MEng — Computer Science

Jan 2015Jan 2016

Massachusetts Institute of Technology

BS — Computer Science and Electrical Engineering

Jan 2011Jan 2015

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