Shivam Garg

AI Researcher

10 yrs 6 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in Large Language Models and automation.
Strong foundation in Computer Science and AI technologies.
Experience with leading tech companies and research institutions.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI-driven solutions.

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Skills

Core Skills

Large Language Models (llm)

Other Skills

Artificial Intelligence (AI)BashCC++CaffeComputer VisionData ScienceDeep LearningGitImage ProcessingLinuxMachine LearningNatural Language Processing (NLP)OCamlPyTorch

Experience

Google deepmind

Senior Machine Learning Engineer

Aug 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Google

2 roles

Senior Software Engineer

Mar 2021 – Aug 2024 · 3 yrs 5 mos

Working on LLMs to automate google support for b2b and consumer products

Large Language Models (LLM)

Software Engineer Intern

Jun 2020 – Aug 2020 · 2 mos · Mountain View, California, United States

Google SearchTeam

The university of texas at austin

Teaching Assistant

Aug 2020 – Dec 2020 · 4 mos · Austin, Texas, United States

EE461P

The university of texas at austin

2 roles

Graduate Research Assistant

Jan 2020 – May 2020 · 4 mos · Austin, Texas Area

Teaching Assistant

Aug 2019 – Jan 2020 · 5 mos · Austin, Texas Area

MIS381N

Samsung electronics

2 roles

Research Engineer

Sep 2016 – Jul 2019 · 2 yrs 10 mos · Seoul, Korea

Software Engineer Intern

May 2015 – Jul 2015 · 2 mos · Samsung Digital City

Indian institute of technology, delhi

Undergraduate Assistant- System Administrator

Jun 2014 – May 2016 · 1 yr 11 mos · New Delhi Area, India

Managed CS Department's IT infrastructure while doing undergraduate studies at IIT Delhi. My responsibilites were:-
1. Managing DNS,DHCP services of the department.
2. Deployment of CfEngine Community version to manage linux systems in various compute labs of the department.
3. Maintaining the kerberos and LDAP service of the department and NetApp filer to provide students/faculty storage space.