Abhinav Garg

Co-Founder

Stanford, California, United States5 yrs 7 mos experience
Highly Stable

Key Highlights

  • Expert in developing advanced AI models.
  • Strong background in machine learning and research.
  • Experience in teaching and mentoring in computer science.
Stackforce AI infers this person is a Machine Learning Researcher with a focus on AI and Natural Language Processing.

Contact

Skills

Other Skills

C (Programming Language)Customer ServiceLeadershipManagementMicrosoft ExcelMicrosoft OfficeMicrosoft WordProject ManagementPublic SpeakingResearchStrategic Planning

Experience

Stanford university

2 roles

Research Engineer

Promoted

Jun 2024Present · 1 yr 9 mos · Stanford, California, United States

  • Developing Next-generation Foundation Models (w/ Percy Liang) at Stanford's Center For Research of Foundation Models (CRFM): https://crfm.stanford.edu

Teaching Assistant

Sep 2022Jun 2024 · 1 yr 9 mos · Stanford, California, United States

  • CS 224N (Natural Language Processing); CS 224W (Machine Learning with Graph); CS 224S (Speech Pro-
  • cessing Systems); CS246 (Mining Massive Data Sets); CS 230 (Deep Learning); CS145 (Data Management and Data
  • Systems)

Observe.ai

Machine Learning Consultant

Jul 2022Sep 2022 · 2 mos · Bengaluru, Karnataka, India

Samsung electronics

Machine Learning Researcher

Sep 2018Jul 2022 · 3 yrs 10 mos · Gangnam-gu, Seoul, Korea

Jumio corporation

Machine Learning Consultant

Jan 2018Sep 2018 · 8 mos · Vienna, Austria

Samsung electronics

Summer Intern

May 2017Jul 2017 · 2 mos · Seoul, South Korea

University of texas at dallas

Edge Disjoint Spanning Trees in Un-directed Graph

May 2016Jul 2016 · 2 mos

  • Aimed to find two edge-disjoint Spanning Trees in an undirected Graph with n vertices and 2n-2 edges. One of which is a double edge

Education

Stanford University

Master's degree — Computer Science

Sep 2022Present

Indian Institute of Technology, Kanpur

Bachelor’s Degree — Computer Science

Jan 2014Jan 2018

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